SIMTEQ Engineering (HxGN | MSC partner)’s Post

CAE experts may achieve variable speed calculations of electric drive noise and vibration due to magnetic forces (#eNVH) using general-purpose multiphysic FEA suites. Such numerical workflows are useful for R&D or at detailed design stage where strong coupling of some physics (e.g. mechanical / magnetic, electrical / magnetic) are required. However, it is difficult using these workflows to rapidly compare different design alternatives or to run an #NVH-driven optimization. Indeed, each design modification coming from control (e.g. change of current angle), electromagnetic (e.g. change of skew) or mechanical engineers (e.g. change of housing) requires the CAE expert to re-run its full simulation to obtain new NVH metrics. #Manateesoftware has been designed to complement general purpose FEA solvers and democratize #eNVH simulation to the relevant engineers at all design stages of electrical machine and drives. Here is why Manatee software should be used for e-NVH machine design: ❌ General purpose FEA software expert workflows for e-NVH machine design = siloed workflow ➡️ NVH simulations can only be launched by CAE department ➡️ High risk to use outdated input data ➡️ High risk to make an error when transferring output data to other departments ➡️ Each simulation iteration is expensive in time and CPU power ➡️ NVH metrics must be post processed separately ➡️ Minimum 9 weeks per #NVH evaluation (without iteration !) ✅Manatee software for e-NVH machine design = collaborative workflow ➡️ All simulations are launched in a common user-friendly environment ➡️ Shared simulation workspace allows to retrieve reference simulation data ➡️ Predefined simulation workflows and interface (MLUT for electromagnetic team, modal basis for mechanical team) ➡️ #eNVH metrics can be obtained within a minute from MLUT & modal basis input ➡️ NVH metrics are automatically calculated and can be accessed in same interface ➡️ Maximum 4 weeks per overall design (including iterations !)

While doing CFD study, Geometry preparation and Mesh generation often become bottlenecks in the simulation work. It certainly impacts the turnaround time and also influences the accuracy of results. Considering this pain of industry, Tridiagonal Solutions, an established brand in a space of CAE consulting handling complex simulations like Fluid-structure interaction, Multiphase flow & combustion modeling, now developed engineers for pre-processing work. Equipped with tools like NX & space claim for CAD geometry & Fluent Meshing, Ansys Meshing, STAR-CCM+& Cubit for mesh generation.  This assistance will save the time of the in-house CAE team, for analysis & interpretation. As we carry out all our technical operations from India, making Tridiagonal, your simulation partner would be the lucrative option. To know our capabilities & successfully delivered assignments click the below link.  https://lnkd.in/geKxVkNM #cfd #solidworks #fea #oilandgas #nx #refinery #epc #oilandgasindustry #power #Bigoil #petrochemicals #computationalfluiddynamics #finiteelementanalysis #refineryoperations #oilrefinery #usrefiners #furnace #epc #epcprojects #cad #oem #oilproduction #centrifugalcompressor #coolingtower #flowassurance

How CAE simulations affect the Product Development Lifecycle. CAE analysis is most commonly used in engineering and design to simulate the physical behaviors of systems or components. Its goal is to forecast how structures, materials, or systems will behave under diverse conditions, such as mechanical stress, thermal loads, or fluid flow. CAE analysis is commonly used in engineering disciplines including mechanical, civil, aerospace, and automotive engineering. It focuses on physical systems, materials, and behaviors. CAE analysis is based on engineering data such CAD models, material parameters, boundary conditions, and simulation results. It simulates and predicts system behavior using physics-based models and numerical methods (such as finite element analysis and computational fluid dynamics). CAE simulations help the company and its ecosystem by 1. Fixing the preliminary designs. 2. It helps to find the right design with an optimized one. 3. It helps in fixing the proto typing and tests. 4. Faster time to market for the products and faster manufacturing. 5. It helps the product development cycle with better innovation by -- Faster design cycle -- Reduced Defects -- Better quality 6. Helps in achieving the top line and bottom line revenue of the company. #simulation #consulting #productdevelopment #productlifecycle #Reserchdevelopment #digitalengineering

Technology and innovation are ongoing journeys. Whether we choose to embrace them or not, the spirals of progress will continue, enhancing our world with increasingly modern and sophisticated methods to treat components and produce new products. At our Laser Center of Competence, we are at the forefront of this progress, constantly striving to elevate our value proposition by differentiating ourselves from others in the industry. Let’s consider a few practical examples. Fifteen years ago, in Laser Cladding, manual part teaching was standard practice for repair or service offerings. Sometimes it was efficient, other times less so, leading to significant programming challenges. Forty years ago, nearly all repairs were done through manual hand welding or hardfacing. Fast forward to today: with advancements in technology and CAD/CAM systems, we now employ offline programming, simulations, reverse engineering, process monitoring, and control. The ability to replicate a process on any machine is a key differentiating factor, especially for parts with complex and demanding structures. If you would like to learn more about our cutting-edge solutions, reach out to us at the Laser Center of Competence—the premier destination in Europe for aerospace, advanced laser technologies, and industrialization. #rocketscience #aerospace #additivemanufacturing #ded #lasercladding #engineer #innovation

How many of Mechanical Engineers are interested in learning Finite Element Analysis (FEA) ? Here are my few interesting points: Design Optimization: FEA helps engineers optimize designs by predicting how components will react to real-world forces.This allows for improvements in strength and efficiency without extensive physical prototyping. Cost Reduction: By simulating different scenarios, FEA reduces the need for expensive and time-consuming physical testing.This leads to lower development costs and quicker project timelines. Risk Mitigation: FEA identifies potential failure points in a design, allowing for early intervention.This enhances safety and reliability in mechanical systems. Material Selection: Engineers can use FEA to test various materials under different conditions.This helps in choosing the most suitable material for the application, ensuring durability and performance. Innovation Enablement: FEA allows for the exploration of new design concepts and innovative solutions.Engineers can push the boundaries of what's possible, leading to advanced and cutting-edge technologies. #mechanicalengineers #feaengineers #stressanalysisengineer #structuralanalysis

🌟 Four-Stroke Engine Simulation Project 🌟 I am excited to share the completion of my recent project where I utilized Ansys to simulate the dynamic behavior of a four-stroke engine. This project was a crucial opportunity to demonstrate my capabilities in analyzing complex mechanical systems and highlight my skills in the field of FEA. Project Overview Project Title: Dynamic Behavior Simulation of a Four-Stroke Engine Project Objective: The objective of this project was to accurately simulate the dynamic behavior of each component in a four-stroke engine during operation and evaluate the engine's efficiency and performance. Modeling and Simulation 1. Overall Modeling - The entire model of the four-stroke engine was constructed using Ansys. - Each component was assigned as a Rigid Body to model them as non-deformable rigid structures. -In order to confirm the stress distribution generated on the connecting rod, a flexible condition was applied to only one connecting rod. 2. Contact Condition Setup - Appropriate joint contact conditions were assigned between the engine components to simulate realistic operating conditions. - Revolute and Translational Joints were set up between major components like the crankshaft, connecting rod, and piston to replicate realistic motion mechanisms. Simulation Process 1. Load and Boundary Conditions Application - Actual load conditions and boundary conditions occurring during engine operation were set up to analyze the behavior of the engine during each cycle accurately. - The moment was applied to the crankshaft under the joint load condition. 2. Performing Dynamic Analysis - Rigid Body Dynamics was utilized to simulate the movement of each engine component during operation. - The simulation results were analyzed to assess the dynamic behavior of the engine and the interaction between components. Results and Analysis 1. Displacement and Stress Analysis - The simulation results were used to evaluate the displacement and stress experienced by each engine component. - The results were visualized to analyze the engine's efficiency and performance. 2. Summary of Key Findings - The dynamic behavior of the engine and the interactions between components were clearly understood. - Important insights were gained for optimizing engine design and improving performance. Conclusion - This project demonstrated my capability in dynamic analysis of a four-stroke engine and highlighted my skills in the FEA field. - The simulation results showed significant contributions to engine design optimization and performance improvement. #CAE #FEA #Rigiddynamics

When does failure happen? Here is how you can predict how components behave under different stresses long before they're built: Engineering & Scientific applications benefit immensely from FEA (Finite Element Analysis)! With FEA, I can: 1. Apply Structural Loads like force, pressure, and displacement. 2. Include Body Loads such as gravity and centrifugal effects. 3. Simulate Thermal Loads like heat flux, temperature changes, and convection. 💡 Imagine using all these parameters to predict if a product will bend, break, or overheat! But what makes it even more powerful is understanding Material Behavior—every engineer’s best friend! From Elastic Deformation to Plastic Deformation, FEA breaks down how materials handle stress until they fail through necking and fracture. ...It’s not just about modeling—it’s about knowing when and where a design will fail. Industries like automotive, aerospace, and manufacturing rely heavily on FEA because failure is not an option when it comes to safety and reliability. So, the next time you think of design optimization, remember: FEA is more than a tool—it’s the key to engineering precision. What’s your experience with FEA? 👇 #FEA #engineering #ansys #solidworks #mechanicalengineering #manufacturing #structuralengineering #materials

Wire crimping simulation involves simulating the mechanical behavior of wires and connectors during the crimping process. FEA allows for a detailed analysis of stress, deformation, and other mechanical factors, providing insights into the performance and reliability of the crimped connection. Source: Dassault Systèmes #simulation #mechanical #mechanicalengineering #simulation #mechanicaldesign #cae #scienceandtechnology #engineering #wire

𝗟𝗮𝘀𝗲𝗿 𝗪𝗲𝗹𝗱𝗶𝗻𝗴 : a precise method that uses a beam of light to join metal parts. The laser beam, generated by a laser source, is directed through a torch onto the workpiece. This focused energy beam heats and melts the workpieces, creating a well-integrated weld. 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀: its high precision, allowing energy to be directed precisely where needed with minimal spread. This results in a smaller heat-affected zone, reducing damage to surrounding areas and minimizing deformation . 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: Used in industries such as automotive, aerospace, medical, and electronics manufacturing, especially for welding challenging materials like aluminum. #learn #engineering #mechanical

Why is defining correct mechanical dependencies in optical design software so crucial for tolerancing and the production process? 👇 ◾ Accurate Tolerancing: Understanding mechanical dependencies is essential in setting realistic and achievable tolerances for both optical and mechanical components. This alignment is crucial for maintaining optical performance while ensuring manufacturability. ◾ Integrated Design: Optical and mechanical components must work together seamlessly. Defining mechanical dependencies ensures that the lenses are compatible with housings, mounts, and other mechanical parts, leading to a coherent overall design. ◾ Predictive Analysis: By simulating mechanical influences such as thermal expansion or the effect of mechanical stress on the optical performance, potential issues can be identified and mitigated early in the design process, leading to more robust designs. ◾ Cost Efficiency: Properly defined mechanical dependencies can help in optimizing the design for cost-effective manufacturing and assembly, avoiding costly rework and reducing waste. In summary, defining mechanical dependencies in optical lens design software is essential for ensuring that the optical system is designed, manufactured, and assembled correctly, leading to high performance, reliability, and cost efficiency. Check out the video to see how simple you can convert positions and dependencies of elements to each other in QUADOA® Optical CAD, even after finishing the complete design, without affecting and changing the optical elements. This is of great importance for accurate and realistic tolerance results. #optics #photonics #quadoa