Find the best COMSOL Multiphysics jobs

I have the 3d model of the aircraft wing. Can you simulate the fuel sloshing effects on the fuel tank inside the aircraft wing? You have to use the VOF method to simulate it. And also optimiza the sloshing effect using 2 different baffles. I need the output as volume fraction, pressure, force impinging on the walls of the tank with its contours and animation. Kindly let me know whether it is possible Thank you

We are looking for a design engineer who specializes in refrigeration and cooling systems using compressors/plate heat exchangers to join/assist our manufacturing team in Shenzhen, China. This is in regards to Atmospheric Water Generators and requires deep knowledge in thermodynamics, fluid mechanics, and heat transfer. Core Skills and Knowledge Areas **1. Thermodynamics and Heat Transfer** - **Cycle Knowledge**: Mastery of thermodynamic cycles, particularly vapor compression and refrigeration cycles (Carnot, Rankine). - **Heat Transfer Principles**: Expertise in conduction, convection, and phase change within heat exchangers. - **Energy Optimization**: Reduces energy loss and maximizes the coefficient of performance (COP) in compressor and heat exchanger designs. **2. Compressor Design and Selection** - **Compressor Types**: Deep understanding of compressor types (reciprocating, scroll, centrifugal) for cascade systems. - **Performance Analysis**: Skilled in assessing suction/discharge pressure, efficiency, and capacity control. - **Multistage Compression**: Expertise in balancing stages, pressure ratios, and interstage cooling. **3. Plate Heat Exchanger (PHE) Design** - **PHE Sizing**: Calculates surface area, flow rate, and pressure drop for efficiency. - **Material Selection**: Knowledge in selecting materials (e.g., stainless steel) that meet thermal and mechanical needs. - **Performance Optimization**: Minimizes fouling and optimizes plate patterns to maximize heat transfer. **4. Cascade Refrigeration System Design** - **Cascade Knowledge**: Designs multi-refrigerant systems for ultra-low temperatures. - **Refrigerant Selection**: Selects appropriate refrigerants (CO₂, ammonia, HFO) based on properties and environmental compliance. - **Interstage Heat Exchangers**: Designs interstage exchangers for effective heat transfer between stages. **5. Fluid Mechanics and Dynamics** - **Flow Analysis**: Proficient in analyzing fluid flow, pressure drop, and two-phase flow behavior. - **Pressure Drop Management**: Minimizes system pressure losses to enhance efficiency. Software Proficiency - **Thermodynamic Simulation**: Experience with Aspen Plus, REFPROP, and MATLAB for thermal simulations. - **CFD and FEA**: Skilled in ANSYS Fluent, COMSOL for fluid flow and thermal stress simulations. Additional Skills - **Manufacturing Knowledge**: Understands brazing, welding, and material selection for extreme temperatures. - **Problem Solving and Optimization**: Diagnoses and iterates designs to improve system performance and meet environmental goals. - **Project Management and Team Collaboration**: Plans projects and collaborates with cross-functional teams, ensuring timely and budget-compliant delivery.

We are looking for a Refrigeration Systems Designer to join/assist our manufacturing team in Shenzhen, China. This will be in regards to the manufacturing of Atmospheric Water Generators (AWGs), and will require expertise in engineering principles, thermodynamics, and refrigeration systems. Core Skills and Knowledge Areas **1. Thermodynamics and Heat Transfer Fundamentals** - **Refrigeration Cycle Mastery**: Understands vapor compression, absorption, and other cycles, including critical components like compressors, condensers, and evaporators. - **Heat Transfer Expertise**: Applies principles of conduction, convection, and radiation, especially relevant to heat exchangers. - **Phase Change Processes**: Deep knowledge of refrigerant phase transitions (evaporation, condensation) and their effective management. **2. Refrigerant Knowledge and Selection** - **Refrigerant Properties**: Familiar with refrigerants like R134a, R404A, CO₂, and ammonia, including GWP and ODP impacts. - **Regulatory Awareness**: Knowledge of environmental standards (Montreal Protocol, Kigali Amendment) and safety classifications. Software Proficiency **Design and Simulation Tools** - **CAD Software**: Skilled in AutoCAD, SolidWorks, or PTC Creo for creating refrigeration system layouts. - **Load Calculation**: Experienced in cooling load calculation tools such as CoolPack and EnergyPlus. **Recommended Tools** - **CoolPack** - **REFPROP** (Limited Free Version) - **eQUEST** (Energy Efficiency Focus) - **HVACSIM+** - **EnergyPlus (OpenStudio/DesignBuilder Interface)** - **Python with CoolProp Library** Problem Discovery and Correction - **Simulation Analysis**: Identifies and resolves design flaws, optimizing for energy efficiency and component longevity. - **Component Selection**: Expertise in selecting compressors, condensers, and other key components based on specific cooling needs and efficiency targets. Additional Skills and Considerations - **Control Systems Knowledge**: Designs automated systems incorporating thermostats, pressure controllers, and BMS. - **Sustainability Focus**: Prioritizes energy-efficient designs using low-GWP refrigerants and energy recovery systems. - **Project Management and Collaboration**: Works effectively with multidisciplinary teams, manages resources, and coordinates vendor interactions.

We are seeking a highly skilled Fluid Simulation Engineer with expertise in Computational Fluid Dynamics (CFD) and fluid mechanics to join/assist our manufacturing team in Shenzhen, China. This role involves conducting advanced fluid flow simulations for various industries, solving complex flow-related problems, and optimizing designs. The ideal candidate will possess strong technical knowledge, proficiency with key software tools, and excellent problem-solving abilities. **Key Responsibilities:** - Perform fluid dynamics simulations using CFD tools such as ANSYS Fluent, OpenFOAM, COMSOL, and more. - Develop high-quality meshes and apply appropriate solvers for steady-state and transient simulations. - Analyze and interpret simulation data, visualizing flow fields and extracting key insights on pressure, velocity, temperature, and vorticity. - Apply fluid mechanics principles (incompressible/compressible flow, laminar/turbulent flow, boundary layers, etc.) to ensure simulation accuracy. - Model turbulence using RANS, LES, and DNS methods for complex environments. - Optimize designs based on simulation results, focusing on efficiency, energy use, or other industry-specific goals. - Automate simulations and develop custom scripts using Python, MATLAB, C++, or Fortran. - Conduct multiphysics simulations involving fluid-structure interaction, heat transfer, and chemical reactions. - Collaborate with multidisciplinary teams across aerospace, automotive, HVAC, energy, and biomedical sectors. **Qualifications:** - Proficiency in CFD software (ANSYS Fluent, OpenFOAM, SimFlow, Autodesk Flow Design, etc.). - Strong understanding of fluid dynamics, heat transfer, thermodynamics, and turbulence modeling. - Solid foundation in numerical methods, including discretization techniques (finite differences, finite elements, finite volumes). - Programming skills in Python, MATLAB, C++, or Fortran for custom solver development and automation. - Experience with experimental fluid dynamics (EFD) and validation of CFD models (preferred). - Knowledge of high-performance computing (HPC) and cloud-based simulation environments. - Excellent problem-solving and root cause analysis skills. - Ability to document simulation processes, write reports, and communicate findings effectively. **Preferred Industry Experience:** - Aerospace (wings, jet engines, fuel systems) - Automotive (aerodynamics, cooling systems, engine design) - HVAC (airflow, thermal management) - Energy (turbomachinery, wind turbines) - Biomedical (blood flow simulation in devices)

I need help for my research on study of temperature behavior of underground power cable system with different back fill materials. Several back fill materials will be test in the study such as, conventional material ie sand, and mixture of sand and Phase change material(PCM) such as carbonized parrafin and others. Thanks

Dear Rao, I am reaching out to seek your expertise in setting up and refining a COMSOL simulation for an electrochemical system designed to model the degradation of Diclofenac (DCF) and the hydrogen evolution reaction (HER). The primary aim of this project is to simulate the key electrochemical processes involved in the system, based on experimental data and the descriptions provided in the accompanying article. The simulation will help provide insights into reaction dynamics, current distributions, and transport phenomena, offering a predictive model for experimental validation. The system under study is a three-electrode electrochemical cell, featuring distinct electrode materials and operational conditions. The anode materials consist of platinum (Pt) and cobalt phosphide (CoP/P), tested in both annealed and non-annealed states. These anodes are central to facilitating the degradation of DCF, a pharmaceutical pollutant whose breakdown products can be harmful if not effectively neutralized. The cathode, made of the same materials, is tasked with driving the HER process, generating hydrogen gas from water reduction. A Saturated Calomel Electrode (SCE) is used as a reference electrode to maintain consistency in the potential measurements across different setups. The electrolyte used for these experiments is sulfuric acid (H₂SO₄) with a pH of 1 for acidic conditions. Tests in alkaline environments are conducted at a pH of 8, aimed at understanding the behavior of DCF degradation and HER under basic conditions. An additional exploratory setup involves a photocatalytic step at a pH of 9, where light-driven processes are used in conjunction with electrochemical methods. Experimental tests were conducted at applied potentials of +0.9 V, +1.23 V, and +2 V to evaluate the performance of the system under varying driving forces. These tests included measurements of current densities under different configurations, with DCF concentrations ranging from 5 ppm (trace pollutant levels) to 200 ppm (simulated severe contamination). For each configuration, experimental rate constants (k) were determined, offering valuable input data for modeling reaction kinetics. The goal of this COMSOL simulation is to comprehensively model the electrochemical degradation of DCF at the anode while accounting for both direct and indirect reaction pathways. The direct degradation pathway involves the electrooxidation of DCF, represented by the chemical reaction: DCF + 2 OH⁻ → degradation products + 2 e⁻. The indirect pathway is facilitated by the generation of hydroxyl ions or reactive radicals, which further break down the DCF molecules into less harmful products. The cathode side of the system focuses on simulating HER, represented by the reaction: H₂O + 2 e⁻ → H₂ + 2 OH⁻. This process highlights the sustainability aspect of the system, as it simultaneously addresses water purification and renewable hydrogen production. In addition to modeling the electrochemical reactions, the simulation will integrate species transport phenomena in the electrolyte. Transport mechanisms, including diffusion and migration of ionic species such as OH⁻ and H⁺, as well as neutral species like DCF, will be modeled using Nernst-Planck and Fick’s laws. This coupling between reaction kinetics and species transport is crucial for understanding the concentration gradients near the electrodes and their impact on reaction rates and efficiencies. From the experimental data provided, key parameters include measured current densities at +2 V for HER and DCF degradation across different electrode configurations and pH conditions. For instance, at a pH of 1 with a DCF concentration of 5 ppm, the current densities for Pt vs. Pt and Pt vs. CoP/P (non-annealed) configurations are recorded as 20 µA/cm² and 40.3 µA/cm², respectively. Similarly, at a pH of 8 with a DCF concentration of 200 ppm, the current densities are 9.8 µA/cm² for Pt vs. Pt and 20.6 µA/cm² for Pt vs. CoP/P (non-annealed). Rate constants for DCF degradation are also explicitly provided for these configurations, such as 0.0106 min⁻¹ for Pt vs. Pt at pH 1 and 0.018 min⁻¹ at pH 8. These data points offer a solid foundation for defining reaction rates in the simulation and serve as benchmarks for validating the model. Despite the wealth of data, there are gaps that must be addressed to fully implement the simulation in COMSOL. The exchange current densities (i₀) for HER and DCF electrooxidation are not provided in the experimental dataset, but they are essential for accurately modeling reaction kinetics using the Butler-Volmer equation. These values define the intrinsic reaction rates at equilibrium and can vary significantly depending on the electrode material and solution conditions. Additionally, diffusion coefficients for DCF, OH⁻, and H⁺ are not included in the dataset but are critical for modeling transport phenomena in the electrolyte. Without these parameters, it will be challenging to capture the concentration profiles and gradients near the electrode surfaces accurately. Given these challenges, I propose a stepwise approach to setting up the COMSOL simulation. The first step would involve modeling HER independently using the provided Tafel slopes for the electrodes. This simpler system will help establish a baseline for reaction kinetics and transport without the complexity of DCF degradation. Once the HER model is validated, the next step would be to incorporate the direct degradation pathway for DCF at the anode. This will involve defining reaction kinetics based on the rate constants provided in the experimental data and coupling these to the Nernst-Planck equations for ionic transport. The final step would be to add the indirect degradation pathway, accounting for the generation of hydroxyl radicals or intermediate species, and integrating this with the HER process at the cathode. For each stage, it will be crucial to validate the simulation results against experimental current densities and degradation efficiencies. This iterative process will ensure that the model captures the key dynamics of the system and can predict its performance under untested conditions. Guidance on estimating or sourcing the missing parameters, such as exchange current densities and diffusion coefficients, will also be invaluable for refining the model. The simulation's flexibility allows us to focus on specific configurations or operational conditions if needed. For example, we could simulate only the best-performing setup, such as the +2 V configuration with Pt vs. CoP/P electrodes, or focus exclusively on the direct degradation pathway. Alternatively, a broader approach could be taken to explore the system's performance across all configurations and identify optimal conditions for DCF removal and hydrogen production. I have attached the article detailing the experimental system, along with a summary of the relevant data, including electrode configurations, current densities, and rate constants. These documents provide a comprehensive overview of the system and the data available for the simulation. Please let me know if additional details or clarifications are required. I appreciate your time and expertise and look forward to your insights and collaboration. Additionally, I welcome any suggestions or modifications to the proposed approach, including alternative strategies or simplifications that may streamline the simulation process while maintaining accuracy. As a final note, the simulation's scope can be adjusted to align with available resources and time constraints. For instance, if necessary, we could limit the scope to specific configurations or reduce the number of variables by focusing solely on one electrode material or operational condition. Your input on how best to navigate these decisions and allocate effort effectively will be greatly appreciated. Thank you for your attention and support in this endeavor. I look forward to hearing your thoughts and working together to develop a robust and predictive simulation of this electrochemical system. Best regards, Arian Grainca

I am reaching out to seek your assistance with setting up and refining a COMSOL simulation for an electrochemical system designed to model the degradation of Diclofenac (DCF) and the hydrogen evolution reaction (HER). The goal of this project is to accurately simulate the key electrochemical processes using experimental data and insights from the attached article. The system features a three-electrode electrochemical cell. The anode, made of Pt or CoP/P (annealed or non-annealed), is used to degrade DCF, while the cathode (same materials) drives HER. A Saturated Calomel Electrode (SCE) is employed as the reference. Sulfuric acid (H₂SO₄) is used as the electrolyte at pH 1 for acidic conditions, and an alkaline solution is used at pH 8 to explore HER and DCF degradation. Additionally, a photocatalytic step is tested at pH 9. Experimental tests were conducted at applied potentials of +0.9 V, +1.23 V, and +2 V, with current densities recorded for various configurations. DCF concentrations were set at 5 ppm and 200 ppm, and rate constants for degradation were determined experimentally. The focus of the simulation is to model DCF degradation at the anode, incorporating direct and indirect pathways. Direct degradation involves electrooxidation, described as: "DCF + 2 OH⁻ → degradation products + 2 e⁻." Indirect degradation occurs via radicals or hydroxyl ions. At the cathode, HER is modeled as: "H₂O + 2 e⁻ → H₂ + 2 OH⁻." Transport phenomena, including ionic and neutral species, will be modeled using Nernst-Planck and Fick’s laws to capture gradients and reaction dynamics near the electrodes. Experimental data provides measured current densities at +2 V under various conditions. For example, at pH 1 and 5 ppm DCF, the current densities are 20 µA/cm² (Pt vs. Pt) and 40.3 µA/cm² (CoP/P not annealed). Rate constants for DCF degradation are also listed, such as 0.0106 min⁻¹ for Pt vs. Pt at pH 1 and 0.018 min⁻¹ for the same setup at pH 8. These values are critical for modeling reaction rates and validating the simulation. However, some parameters are missing. Exchange current densities (i₀) for HER and DCF degradation are not provided but are crucial for implementing the Butler-Volmer equation. Diffusion coefficients for species like DCF, OH⁻, and H⁺ are also absent but are necessary for transport modeling. These gaps will need to be addressed, either through estimation or literature review. I propose a stepwise approach for the simulation, starting with HER alone to simplify initial modeling. Once validated, the direct DCF degradation pathway can be added at the anode, followed by the indirect pathway and coupling with HER. Validation will involve comparing simulated results with experimental data for current densities and degradation rates. Please find attached the article and relevant data summaries. Your input on refining the setup, estimating missing parameters, and validating the model would be invaluable. I look forward to collaborating with you. Best regards, Arian Grainca

Project Overview: I am working on my capstone project, which involves designing a sand-based thermal energy storage (TES) system integrated with photovoltaic (PV) panels. The project focuses on using sand as a storage medium due to its abundance, cost-effectiveness, and environmental benefits. I require detailed simulations to analyze and validate the system’s thermal performance, including heat transfer, temperature distribution, and overall energy efficiency. Scope of Work: I need a skilled simulation expert proficient in COMSOL Multiphysics or ANSYS to assist with the following tasks: Thermal Analysis: Simulating the heat storage and transfer dynamics in a sand-based system heated by resistive elements powered by PV panels. System Design Validation: Ensuring the model meets the design specifications and analyzing key performance metrics (e.g., heat retention, discharge efficiency). Optimization Recommendations: Providing insights to improve system efficiency based on simulation results. Inputs Provided: I will supply all the necessary inputs for the simulation, including: Physical dimensions and design details of the TES system. Material properties (thermal conductivity, specific heat capacity, density, etc.). Heat source and boundary condition data. Energy requirements and operational parameters. Deadline: The final report is due on December 15th, so I need the simulations and results to be completed by the end of this week to allow time for supervisor validation and report edits. Requirements: Expertise in COMSOL Multiphysics or ANSYS. Experience in thermal analysis and renewable energy systems is a plus. Availability to deliver within the required timeframe. Strong communication skills for regular updates and discussions. Deliverables: Complete simulation files and setup. Detailed report of the results, including heat transfer and system performance analysis. Suggestions for optimizing the TES system. If you are confident in your ability to deliver high-quality results within the tight deadline, I’d be happy to collaborate with you on this exciting project.

Extraction of all 3D models of construction, weapons, industrial and other blocks (modules) from the game "Space Engineers", including textures and import of the result into an empty UE5 scene, to demonstrate correctly extracted models and textures. Extraction of all 3D models from the game, taking into account all available DLC and mods from space engineers game.

We are seeking a highly skilled individual with expertise in COMSOL Multiphysics to assist in the modeling and simulation of aluminum-air batteries. The ideal candidate will have a strong understanding of electrochemistry and the ability to create detailed computational model and simulations that accurately reflect aluminum-air battery performance. This role will require collaboration and clear communication to ensure successful project outcomes. If you are passionate about battery technology and have the necessary skills, we would love to hear from you.