Name: Sustainable Packaging Development - Driven by MODSIM
Uploaded: 2024-10-29T20:42:39.806Z
Duration: 51 min 44 s
Description: Sustainable Packaging Development - Driven by MODSIM

Transcript for "Sustainable Packaging Development - Driven by MODSIM": It's come in the oh, we're live. Yep. Just on the right side. Yep. There's, like, a little toggle. I'm pretty sure I was gonna say I'm pretty sure we're live, by the way. We should have a handful of people on. So, we will get started for those of you that may be on already. I can't see you, but, we'll get started in just a minute. We'll give everybody time to join. And I did I put a note in the chat there. I'm just saying to please feel free to use the q and a for any questions as we go. And then, Anna and Marcel, you should be able to toggle from the chat to the q and a so you can see if there are any questions that pop up. But, Anna will try to monitor those for you. And if we can answer everything as we go, that would be great, but we can also have time at the end. Alright. Sounds good. Well, I have 2 o'clock. I think it's probably safe to get started. My name is Amber Richardson. I'm an account manager with GoEngineer. I primarily cover the Midwest, but, I'm not sure where everybody is located on this call, but that doesn't completely matter. I'm joined today with Marcel Ingalls. He is one of our, analysts on the team, and then Anna who I believe will be introducing herself as the webinar gets started. And so, between the 3 of us hopefully we'll be able to answer any questions that come up as we go. Today if you're already on the webinar you probably know what it's about. We're going to be talking about sustainability in ModSim which is basically just combining modeling and simulation. We will discuss how complex simulations can be used directly by designers or packaging managers, excuse me, who can quickly execute their highly repetitive day to day tasks, like some of the scenarios that, we'll go through in in the webinar, but pertaining to, things like lid opening, cap applications, removals, bottle drop tests, and then also bottle light weighting. So without any further ado, I think I am going to hand it over to the team to get the webinar started. If there's any questions, like I said, just pop them in the chat. And bear with me because it's not allowing me to relinquish control. So just give it one second. And and welcome everybody to this webinar. So, here's our agenda for today. We'll, see how ModSIM drives or helps to drive sustainable product development, and then, you how you can design sustainable products with ModSIM and how ModSIM can be further integrated into companies' product development processes. This webinar doesn't show the entire bandwidth of applications that can be resolved with simulation. So if you would like to know more, there is a, a complimentary e seminar, and we can make this link, available upon request. So, here are some of the major trends and challenges which are impacting the consumer goods industry and have been for for some time now. We won't go into details in these, but it's probably not surprising to anyone on the call that sustainability is is not just one of the top five major trends. It's probably the major trend. I think it's dominating a lot of the CPG industry at the moment. Requirements for sustainability are increasing at every step of the value chain. Sustainability of the materials that are being used in packaging solutions, the optimization of the design and material efficiency, how we distribute our products, end of life disposal, and, of course, material recovery. Really, everything is under scrutiny when it comes to sustainability. And it's very clear, much higher levels of innovation and agility will be required to deal with the pressure and the potential disruptions that emanate from these these industry challenges. So how does ModSIM fit with this agenda? Well, in Dassault, we have some really nice, technology and functionality which, helps to meet and address some of the challenges that we've just talked about. This is done by automation, integration, and democratization. 3 d experience provides end to end automated opportunities and can orchestrate the automation of repetitive and complex tasks. 3DEXPERIENCE can integrate, all simulation and adjacent functions in one place, and CAE users can work in the same environment as designers, product developers, and project managers. And therefore, all project plans, results, issues can be shared, with colleagues quite quickly and easily and can be worked on collaboratively in the same environment. 3 d experience comes with a a nice set of tools to make automated workflows reusable in a way that, potentially even nonexperts can access and use them. The user experience is quite simple, elegant, and efficient, and because it's all in the same database. So we see that 3 d experience with ModSim is the key enabler. So ModSim, what is it? There there are a lot of buzzwords surrounding ModSim, but we want to to try to keep this short and simple in definition. So we would describe ModSim, that it unifies modeling and simulation on a common data model within a single user experience on the 3 d experience platform. By breaking the silos between CAD design and numerical simulation, this allows a deeper integration of simulation into business processes. And nonexperts can start to use simulation to support their packaging development activities in a web browser, and that starts to unlock, many opportunities. The introduction of ModSIM is a a real process transformation, and this is enabled by a common data model at the core. This is the transformation that ModSim brings. So from traditional file based sequential processes to a modern integrated fully associative approach. So on the left hand side of the screen, we see the typical sort of development process. Often starts with design followed by, some geometry cleanup and preparation, then that leads into meshing of a model, simulation setup. We might run some batch solves and then evaluate the results. Then design iterations are started, and all these files need to be updated. And as you can imagine, a lot of files, emails, presentations, data reports that are are created throughout this process are then handed from one stage to the next. In comparison to this, on the right hand side, we have ModSim. ModSim uses data objects instead of files, and these objects are connected to, a common data model and communicate with each other. We have full associativity of the data, so with easy and quick updates of all models in different physics, which leads to fast iterations and better support, to design evaluation decision making. So let's dig a little bit deeper. So how does a process look, like with? So a design loop still contains a CAD build at the top of this diagram. So we still have our our CAD select and store. We then have mesh, a simulation run, evaluation, a model update. But the way the data is organized is not based on files anymore. We have data objects in our common data model. So we start with the CAD model, with an assembly, parts, etcetera inside of it. And then we add a data object for the geometry cleanup, also for the meshing and also for connections like bolts, kinematics, constraints, etcetera. These data objects contain a sort of description how a specific task should be executed. For example, the meshing object contains a definition of how the CAD should be meshed. The same for the simulation setup. Now you can see a a data object simulation, which sits on top of of the CAD model, and it's associated to the CAD model. But it's also a container for the the simulation scenario below and the solver settings and, eventually, the results that we will we will generate and evaluate. As all of these data objects are part of the database, now a design iteration is very simple. All you need to do is modify the CAD data and run with one mouse click a CAE update. And all of these data objects are updated automatically. You can then just rerun the simulation, and it's done. So this is a unified modeling and simulation environment with full associativity with our common data model sitting behind it. Automatic updates of the models for different physics can be run, and it's all running from a single user environment. So ModSIM, what what is it? So ModSIM helps to streamline these data exchanges significantly and break down silos between design and simulation. It can also, help us to address the challenges, which it it perhaps is a bit maybe a bit more specific to the CPG industry. So we're we're not talking about transport and mobility companies here or aerospace and defense organizations where simulation is really very well established tool that's been used for many decades. Often, there are many simulation experts sitting within these companies and organizations. In the CPG industry, many of the people who need to use simulation or can benefit from the capability that simulation brings often don't have access to a thick client. They're obviously most likely not a simulation expert or specialist, although there are simulation experts and specialists sitting within many CPG organizations. But this means things like automation, integration, and democratization via a web user experience is is really important here. Democratization of simulation puts the full potential and power of today's advanced simulation tools into the hands of nonexperts, of course, in a controlled way. And this helps to boost innovation and to allow more design alternatives to be explored safely, quickly, and at a lower cost, and allows the the experts to focus on maybe more complex activities and and tasks. So I'll I'll show you how this looks. So you can see here a a ModSim web interface in the screen. For this is for running, complex simulation tasks from a web browser. This could be started even from a tablet or or a smartphone if you wanted to to do such a thing. So starting from the web UI, the designer or packaging manager can select the simulation scenario they want to run. There's 4 options, 4 different scenarios in this instance. The process is, initiated, tells the user what data is necessary to drag and drop. So in this particular example, they're going to drag some, bottle geometry into the simulation scenario, some nozzle geometry, and then input some flow rate data. And the simulation process is is run. It's pretty straightforward and a fairly simple user experience. Results are available, after the simulation is completed, and you can then drag and and drop those results and see them in the browser. You can imagine the role of the simulation expert is changing from one that focused on actually running the simulations themselves to one that's more focused on capturing their knowledge and expertise in a way that is safely and robustly reliable reusable by people in their organizations who are not necessarily experts in the underlying CAD or the simulation tools. So how does this capability help to develop more sustainable packaging solutions? Simulation, can be used to support decision making throughout the entire value chain in in consumer goods. So firstly, on the left hand side, we start with virtual material models. We can simulate the manufacturing processes and on how these materials are converted into packaging components. There's then simulation scenarios further down looking at sort of high speed dynamic factory based environments, things such as capping, conveying, labeling, filling, end of line, handling. And then we, have additional simulation analysis, which might be related to the distribution of these finished products, such as palletized distribution or ecommerce. And last but not least, of course, the the consumer experience and end of life, activities for a packaging, solution. So how might a bottle appear on the shelf? How much force does a consumer need to open and dispense the product? Can my packaging be easily separated into different recycling streams, for example? So all of this is modeled and simulated typically for every new, product design. So I'm just gonna play a very short video. John, let me know if the sound isn't okay. I'll assume it is okay. How long does it take to develop a new bottle? Several months? If so, would you believe us if we tell you it can be done in few weeks? A typical development process involves designing, simulating, prototyping, and testing, all done by different teams, often working in silos. Thanks to the 3DEXPERIENCE platform, the collaboration between teams is seamless. And leveraging an integrated modeling and simulation solution, it is possible to develop a new approach that can drastically reduce the development cycle. This can be done by replacing physical prototyping and testing with a virtual twin and democratizing simulation. Using design parametrization with automated processes, different bottle designs can be generated and validated rapidly to meet consumer experience, shock resistance, and weight target. This improved development cycle is essential to achieve new sustainability targets with a reduction of 20% in plastic usage, while maintaining a high quality product. All of this with a faster turnaround time going from 10 months to 3 weeks. Okay. There's a lot of information in that in that video, but, we're gonna go back through some of that now in a little bit more detail to a slower pace. I think one of the interesting or important messages towards the end of that video for me is about driving sustainability, reducing weight, optimizing material usage, starting to use more environmentally friendly materials, but at the same time, learning how to do that without compromising quality and performance and consumer experience. That's not an easy, balance to strike. Of course, all companies, today have their sustainability targets. For example, manufacturers need to reduce the weight of plastic bottles. And for example, a a manufacturing plant that produces, let's say, 1,000,000, tens of 1,000,000 of bottles, just by reducing the weight of the bottle by 20% would lead to a significant saving in terms of total, resin across that portfolio. And you can imagine what that means to companies who produce many, many, many different, ranges and sizes and shapes of bottles. So we're just gonna dig into this example a little bit, and we're going to focus on the the performance of the cap for this particular design. So we've just picked, 3 of the most common simulation scenarios that are performed, in this type of of packaging solution. So on the left hand side, you can see some requirements for this bottle, and cap. We have lid opening. We have cap application removal, and we have drop test specific functional requirements. And these have measurable performance targets, for each requirement. For drop test, we have to ensure that the bottle survives the drop without the cap and the bottle separating or the cap opening or the sealing surfaces between the bottle and cap or lid to cap being compromised. So there's a there's a number of risks involved with this particular design. So if I just, run this video, it just gives you an idea of how this looks in the 3DEXPERIENCE platform and these simulations that are built for this for this particular bottle. I'm just gonna pause this video in a second here. So you can see we've got the CAD geometry on the left hand side of the screen. We've got the corresponding FEM with the mesh on the right hand side. As we update the CAD, the mesh automatically is updated. We can tweak or the the user can tweak the geometry parameters. So we've got spud diameter, plug diameter, orifice diameter. These are 3 critical dimensions, in this particular problem, that we're trying to resolve. And the user can can adjust these these dimensions and these parameters, and this is typically what the designer wants to do. So they want to change the level of interference to really optimize the application force of the cap and optimize the lid opening force. So it it should be relatively easy for the consumer to open, as a user, but the lid doesn't need to we don't want the lid to open at any stage during the high speed production line or when the bottle, drops. Just resume playing this video. So we can see, the forced to open simulation results. We can also see a cap application and removal simulation. And, accordingly, we can see the x y plots on the forces. We have to to adjust these forces accordingly so it's not too high or too low. And last but not least, the drop test. So the bottle is filled with the fluid. We have to take care that the lid doesn't come open or, separate from the bottle during the drop test. So this is an interesting trade off exercise. We want the pack to be easy to open for the consumer yet robust enough to survive the rigors of supply chain. A modSIM approach can really help the development team here to explore many, many options and tolerance combinations and really understand the design sensitivity and ultimately arrive at a design solution that can satisfy all of these requirements, even if they're conflicting requirements. So how does democratization, work? Let's have a look at the as is scenario. This is how many many of us currently work. The designer develops the CAD and hands over to the simulation engineer who's performing the simulations. Now since this is done for every single design iteration, you may want to start to democratize this process. You don't want to go over and over this repetitive process again and again from scratch. But this is still often the case, today. The platform provides a really perfect environment to help democratize, all of these workflows. So this process will change, using the 3DEXPERIENCE platform. What we also see, from our customers that roles are starting to evolve, which is interesting. So previously, those who've been simulation specialists start to become, methods developers. So they're creating these automated methods within 3 d experience, and that creates the opportunity for democratization. Then there's a handover to the designer. Now the designer is able to execute this simulation autonomously. They're designing the bottle and running all of the simulations in one go. And as a consequence, the time to create one bottle, optimize it, test it, validate it, has been significantly reduced. Again, there's a change to the designer's role, which is also interesting, and there has to be some support from within the company and the organization to make this happen, because there's also not just skill changes, role changes, but mindset changes. Suddenly, someone who is responsible for the simulation activity is now becoming a methods developer. So to enable democratization, we require 3 things, engineering templates. So with engineering templates, you can automate any kind of recurring analyses. You can automatically create a simulation object, where you define everything that's required to be run-in the simulation. Then we use, something we call process composer on 3 d experience to create processes, where we design the the sequence of activities, and integrate functionality on the platform. For example, in this process for the bottle simulation, you have, instantiation of the engineering template. You've got different simulations to to to orchestrate, and reading all of the various results and outputs back into the GUI. Last but not least, we have the GUI builder where if you have the process already developed, the GUI can be built fairly quickly. It could even be just several minutes, to be honest. And you can simply drag and drop different icons into the GUI to to create the structure for the the user interface. And you quickly have an interface that's ready for, a user, a designer, for example. So that's actually what the methods developer is doing here. They're using all of these techniques and tools to build, the automation in 3 d experience. After the methods developer's created the method, this is the outcome. So a typical, graphical user interface that you might see in a web environment of the platform. This is the environment that the designer would would see and use. So they would create the bottle in the usual way, and then they would simply drag and drop that geometry into this web interface. They can set the values for the geometry parameters, select the load cases, and run the simulation. The results are then automatically captured and fed back into this window, into this environment so the designer doesn't have to start, the design and simulation apps at all. They get all of the information from this single, web interface. So this is, this is the interface that the designer would get as a result. Here we see the the structures editor on the top left hand side where we can, load and review the bottle. On the top right hand side, we see a visualization window where the user can review the bottle in 3 d. And this is all done by the web interface. There's no 3 d application that's necessary to to to run here. In the bottom half of the screen, we have the, what we call the performance study. So this is the environment or space where, all of the simulations are set up. So, if we run the video now, we can see that here we can simply drag and drop the bottle, to see the process, that we're able to see in detail. The simulation methods developers created the functionality for the designer to easily tweak, the most important geometric parameters. So if they don't see, the right results, the right force to open, for example, they can come back into this environment, and they can easily adjust and play around with these dimensions and see how they influence, the the performance of the design. As they're running those designs running those simulations, they're starting to get information back and and being able to see the results. So you can see the user is dragging and dropping and having lightweight views of the results. So here, the user, they can look at displacement. They can look at the stresses, interrogate the design, see how it behaves during the opening, closing mechanism, and start to, start to form some opinions and and make decisions around design suitability and design performance. Are they satisfied with with what they're seeing? In this particular instance, so after they've run the process and they've reviewed the results, the designer would actually want some feedback. They're not 100% sure with what they're seeing, so they want to share the results with a a more experienced simulation expert. They're doing this through what we call 3 d swim. So they're posting the results. They're sharing them just collaborating with another user on the platform saying, hey. I've got some results. Can you please sense check this? I'm not a 100% sure. So the experts looking at the results, they're able to review this and share their opinion back with the designer. So this is really helping the designer to, you know, be reassured they've got support if they need and guidance, and all of this is documented on the platform. So this is how people can interact efficiently within 3 d experience without taking screen grabs and creating a PowerPoint presentation and posting it by email. Using traditional iterative processes, to adjust steel dimensions on pilot tooling, you know, bay those adjustments might be being made on physical test results that are being seen in a in a lab. It can be a long protracted process, and it could easily take several months to resolve a sensitive design trade off problem like the one we've we've just been, reviewing. ModSIM really does help to significantly accelerate this process. So how does the ModSim integration look? So I'll quickly explain, the different layers of this 3 d experience ModSim graphic and how they relate to a typical, product design process. So in the center, of a business process, we see ModSim at the core. So this is where we find all of the typical information related to our end to end simulation, the models, the simulation, and the results for the whole of the design spaces in our models. But modeling and simulation isn't used in isolation. Maybe in the past, it has been used as an almost stand alone capability, but increasingly, companies want to integrate simulation into their business processes. So it's typically part of a broader activity like an innovation project or a cost saving project. So in this diagram, we can see that there are different layers of activity that, and information that surround, the core ModSIM capability. At the top, we have project management layer, and this is where you might track and manage project tasks and activities, timelines, resources, to complete a program. We then have, the product manager layer where we capture the the product design and the performance requirements, and manage design changes. We've got ModSim at the center where we perform, product design modeling and simulation, maybe performance trade off studies or design exploration. So we're executing a lot of the simulation in this central core. And finally, we want to be able to analyze those results, share them, make collaborative decisions, and manage design changes. So you can see ModSim is surrounded by the business process. So what have we seen so far in our in our example? So we've seen how, the ModSim. Excuse me. So let me just go back. Click too soon. So we see now the ModSim works at the core and how it can be democratized. And in the core, we've got the simulation, model and the design model. We've got ModSim. Then we've got the templates and the process automation to create the web based user interface below that. This platform capability is the key for democratization, which is essential to the CPG industry. Democratization gives simulation, to users in a standardized way into the hands of designers or product developers in the organization. So in in principle, many people many more people can now execute specific simulations and use them as a base to take better qualified decisions, which have a a business impact. And in the case of CPG, it can have a huge environmental impact as well. But even better than that, we've now seen this can be more deeply integrated into these other layers. So here we have the example of what this might look like for our CAP project. We've got the project timeline with tasks and activities, assigned to team members. We've got clearly defined requirements, which describe what the caps are required to do in terms of the functional performance, lid opening, capping and uncapping, and drop test. And these then help to identify risks, technical risks. And those risks are what really drive the virtual test program, the simulation program, which uses the at the core. And here, we've got a a separate example. We've got a plastic bottle light weighting project. Again, this is a this has a a project timeline with tasks and activities assigned to team members, clearly defined requirements that describe what the bottle is required to do in terms of functional performance. These then help to identify the risks. And, again, that's MODSIM program, this virtual testing and optimization program at the core of the process. So this is where the design optimization process takes place in this particular example of lightweighting. And this optimization is made possible because a methods developer has previously built and tested an automated process and and a simplified user interface that's been used by the light weighting team. And finally, the results are generated for the team to analyze and review and make final decisions. So is efficiently generating the data and the results that will help the team to make well informed decisions on the final design that will be recommended to the stakeholders in the business. We can see, in the next video an example of how a democratized simulation process looks, and this is the kind of process that might be accessed and used by someone who's not necessarily a deep expert in simulation. So this is a a bottle light weighting process. The first thing the user will do here is search and find their bottle geometry. They can then drag and drop the bottle geometry, into this, process. They've they've got a 3 d viewer, so they can actually look at and play around and view the bottle geometry just to make sure it is in fact the right geometry. They're then, asked to or prompted to import port material data. So this is a HDPE, specific grade of HDPE. It's an extrusion blow molded bottle. And they're also inputting a wall thickness, map. This is something that may have been previously, measured physically to look at the existing, wall thickness for the bottle, and they're going to input some top load performance targets and squeeze force targets. These are what the bottle wall distribution will be optimized against to make sure it delivers these performance targets. So they run the simulation. There's a number of iterations. So there's 6 iterations to optimize the wall thickness for, top load performance, and that's followed sequentially by 2 simulation, scenarios to optimize squeeze force. So we opt the process optimizes for top load first, achieves a a weight reduction of 11.8%, then there's a subsequent optimization, to make sure that the the wall thickness can also achieve the required squeeze, force requirements. And that actually adds a little bit of material back into the design, so the final result is just under 10% mass reduction at the end of this process. And you can see on the bottom right hand side there that the evolution of the wall thickness of the bottle during that process. So what you've just seen there is, a wall thickness optimization process for top load and squeeze. This is one simulation process or workflow. There are others which may be associated all with the bottle manufacturing process. So being able to, understand performance and optimize wall thickness for positive or negative internal pressure. We can evaluate the drop test performance of an empty bottle, see how it performs, dynamically, on a conveying system to look at stability, bounds, etcetera. We could even look at how a lightweighted bottle might perform if it's stored in a in a hopper, where creep performance could be a factor. In parallel, there are different simulation processes and workflows, MODSIM processes associated with a cap. So we've got injection molding simulation to evaluate warpage, built in stresses. We can run process virtual process DOEs to look at how process changes affect these warp the warpage and stresses in a in a cap, and we can perform cap opening and and closing, simulations. We can bring the bottle and cap together, look at screw on capping and snap on capping simulation processes, evaluate, seal performance, perform filled and drop capped drop tests, and even look at more complex simulation scenarios such as ecommerce or palletized distribution. So these individual discrete processes, they can be used in isolation. But, actually, as you start to go on the journey of ModSIM and you build more and more of these, ModSIM processes, you are progressively building a library of capability that equates to eventually a virtual twin. So you're able to represent pretty much the entire value chain, for your your plastic bottle and cap. Here you can see one integrated mod sim loop, drawn out in this diagram. We're efficiently, generating new data, new revisions, and new designs as the design progresses across the design cycles. But what's really impressive here is, we've done the whole process, in the platform, so we haven't had to generate any emails, or PowerPoint presentations. All of the information and the communication and the data management has been managed and handled within the platform. Therefore, it's searchable. It's traceable. There's no other data exchange outside of this or necessary outside of this environment. It's all managed on the platform in a single loop. That's where the efficiency comes from. Now you can imagine how many different products many CPG companies, have to handle and and and manage. All of them, will go through development processes at some stage from concept to detailed design, production, transport, consumer use, and disposal. So there will be many, many, many hundreds, if not thousands, of mods in loops over time, and each of these loops can bring, efficiency savings. So this sums up and and if you add up all of these efficiency savings together, this is where you start to get incredible, tremendous value. So this is the concept that we call left shifting. All of these savings add up, so you can bring the whole project timeline forward. You can advance the project. You're able to evaluate concepts earlier through simulation. You're able to start your detailed design phase and validation phase much earlier and derisk a project much earlier. So you start to save a lot of time and money, and this is where the real value of can start to add up for for a business. This gives the necessary agility to CPG customers to develop competitive and sustainable package packaging solutions in a shorter time frame. So how can customers do this? There are many challenges, for the CPG industry. Sustainability is arguably the biggest one of all. Almost all companies have very ambitious and challenging sustainability targets, of course. The The CPG industry therefore needs to be, to have an agile development process, and one that can exploit the use of simulation, to reach a higher level of innovation within a shorter time frame. So we all know, you know, simulation is the key for innovation. The more we simulate, the more we're able to iterate and innovate. How can the usage of simulation be increased? By transferring simulation from the hands of a few specialists into the hands of a broader community using automated simulation processes that can be executed as a standard tool by a designer or a packaging expert? This is what we call democratization, and it unlocks capacity and and a lot of potential opportunities. This also helps to standardize simulation processes and test procedures so so that all necessary steps are always included and and can't be forgotten by accident. So what does a customer get? What are the benefits to a customer? You can quickly virtually test different materials, different shapes, sizes, and components, easily explore and optimize, different designs, identify the critical design parameters, study the impact of variation in geometry and in material behavior, due to the process parameters. And all of this helps to avoid risks and make sure that the designs, will work reliably and and robustly. Easily adapt requirements based on feedback from production or from consumer experience and check designs, against these requirements. Have resources to develop an enhanced consumer experience so that you're no longer just developing a design that just works and is just good enough. You can take this to the next level. You've got time to optimize refined solutions that really, take the consumer experience to the next level. So why should a customer go on this journey? The left shifting in the development process leads to efficiency gains, and this results in saving time and money, speed to market, for new packaging designs, money savings, so less physical testing, for example, fewer line trials, reduced transit testing, less weight and and material, and more efficiency on fuel consumption during distribution. And, of course, sustainability targets, minimize existing materials, understand the behavior of new or sustainable alternative materials, and the use of recycled or bio, resins, for example. And this is these are really the results that we see. First of all, the the typical simulation experts learn to become evolve and and learn to become methods developers. And by that, you can increase the throughput in your business. So if you want to reach your sustainability targets in a short period of time for all the different types of of products that you're developing, You might now have, let's say, 200 users where maybe previously you'd only had 10 simulation experts before. And this this broader user base can be running some of these sophisticated simulations because they've been democratized. And as shown before, this capability can help to reduce the mass and the material usage by up to 20%, maybe beyond. And that's very typical, if you run all of these different simulations that you might get such a reduction. And you can significantly reduce the overall development time for every single product design. Some key takeaways, and then I'll hand back to, to John if there's any questions in the chat. So the 3 d experience platform unifies modeling and simulation in a single user interface. Automation and democratization of simulation improves collaboration and avoids avoids siloed working and can be deeply integrated into, the layers and activities of a company's development process. All the efficiency savings result in the left shifting of the development process, which means much more agility for a company. Of course, the concepts that we've talked about today have been in the context of a CPG industry, but, of course, these are these are growing and evolving and being deployed and tested and improved through lots of other industries far beyond, consumer packaged goods. Alright. I saw that there was one question in the chat just asking if the presentation would be available to watch over again, and the answer is yes. There is a recording that I can share. John, I'll share it with you directly. But if anyone else would like that, please reach out to me. And, with that being said, I'll just allow another minute or 2 for any questions to come up. Anna, is there anything that you would like to add as I, was a little bit quick to hit get things kicked off in the beginning? Did you wanna introduce yourself for those on the call or add anything? Sure. Thanks, Amber. This is Anna Liang. I'm a Malian simulation industry process consultant here at Dassault Systemes. My focus has been on the CPG industry, specifically in the past couple of years. And thank you all for attending today's webinar. I do wanna add that, we constantly got questions from our customers as well as these type of webinars, about how other CAD can be used in this Maxim approach. Now we keep mentioning that having a native CAD definitely has its own benefit because everything is on the platform and you'll be able to change, you know, the either the geometry or the mesh directly linked to that one data model. But we do have pretty good connectors with other CAD files as well. So SolidWorks is one of our own CAD system that we the the connector works really well to the 3dx 3d experience platform. At the same time, we can use, we call it XCAD as well. So if you have any any specific questions or, you know, wondering if, like, that specific workflow would work, we're happy to answer, your question if we can hop on the call together. No. That's awesome. Thanks, Anna. It's a good thing to note. I know a lot of our customers that do use SolidWorks as their primary CAD. They also have, customers, for example, that require something else. And so it is not always possible to, sorry. It was looks like Bilal just asked a question. It's not always possible to always use SOLIDWORKS, so I know sometimes there are requirements that that would require some different CAD. Anna, do you know the answer to that question about wall thickness mapping? We didn't go into much detail about what wall thickness capping sorry, mapping. Within this webinar, we do have the capability, especially after blue molding, how the, you know, what, like, material distribution essentially, and how do we map that to, the geometry. We have that capability. We can democratize it as well. So I guess, hopefully, that answer your question. No. It's time, David. Well, it's wonderful to have you. By the way, if you do need any more info on that, I can potentially connect you with Anna if you want to send me an email. You bet. Are there any other questions? Yes, Cole. I will send you one as well. Actually, you know what? I'll just get a list of all the participants, and I will send the recording to everyone that was on the call today. And we'll just, if you don't want to watch it again, that is okay. But for those of you that do, I'll just send it regardless. And then also you'll have my email address. So if there's any further questions, you can just ask me directly, and I'll facilitate getting answers for you. Alright. I think we are probably safe to wrap up. Thank you all so much for joining. I hope it was a valuable use of time, and you have a wonderful rest of your day. And I don't know exactly how long it will take for the recording to be finalized, but I promise I will send that out as soon as it's available to me. Have a wonderful day, everybody.