Chemical Processing

Chemical Processing Artificial Intelligence Analysis FEA|CFD & AI Integration

Simulation Dynamics CFD and FEA solutions for the Materials & Chemical Processing is helping companies to significant engineering improvement from equipment and processes to chemical and petrochemical refining to glass and metals manufacturing, forming and casting . Simulation Dynamics solution includes CFD for chemical process Industry, FEA for process industry and expand to cover electromagnetic and system design engineering concerns.

Chemical Processing, Integrated FEA|CFD with Artificial Intelligence

Filtration System Design

Designing effective filtration systems is critical in many industries, including chemical processing, food and beverage, pharmaceuticals, and water treatment. CFD simulations can be used to model the transport of solid particles in these systems, helping to understand and reduce erosion in solid separation and extraction devices.

FEA and CFD simulations can be used to optimize filtration systems by studying filter media, particle deposition and caking, pressure drop, throughput, and back flushing. By simulating these phenomena, it is possible to identify areas of inefficiency and suggest design improvements to optimize the filtration process.

In-depth studies of filter media can help to determine the optimal material and pore size distribution for a given application. Particle deposition and caking simulations can identify areas of high particle accumulation, which can lead to reduced throughput and increased pressure drop. By optimizing these factors, it is possible to improve the overall performance of the filtration system.

Pressure drop simulations can help to identify areas of high resistance in the filtration system, which can lead to decreased throughput and increased energy consumption. Throughput simulations can help to optimize the flow rate through the filtration system, ensuring that it operates at maximum efficiency.

Back flushing simulations can be used to optimize the cleaning process of the filtration system, ensuring that it is as efficient as possible. By simulating these processes, it is possible to minimize the amount of energy and resources required for cleaning, further improving the overall efficiency of the filtration system.

Engineering Reliability, One Simulation at a Time.

Finite Element Anlaysis(FEA) and Computational Fluid Dynamics(CFD) ensures your designs are built to last. From automotive to aerospace, analyze structural integrity with precision. Trust in reliable solutions. Whether predicting pressure drop, thermal shock, stress, strain, or deformation, FEA & CFD delivers the insights you need to innovate with confidence. Build products that perform under pressure.

Filtration System Design, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence

Chemical Processing: Filtration System Design

Heat Transfer-Equipment

Simulation Dynamics engineering simulation for heat transfer solutions help clients to gain critical insight, and select the right design for the right application. Heat transmission by conduction, convection and radiation in laminar or turbulent flows for fluids, such as steam, thermal liquids, liquid metals and non-Newtonian fluids, can be design and analyze and new concept can be developed using engineering simulation for heat generation and heat transfer equipment.

By combining these Finite Element and CFD simulation tools, Simulation Dynamics engineering team can provide a comprehensive solution for the design and analysis of heat transfer equipment in the Chemical Processing industry. The team's expertise in CFD and FEM simulation allows them to deliver innovative and optimized designs that meet clients' unique requirements, while also ensuring the equipment is safe, reliable, and efficient.

Artificial Intelligence & Machine Learning Powers the Future of Simulation.

Transform your simulations with AI-driven insights. Automate workflows, reduce time-to-market, and unlock new possibilities. Embrace the future of engineering. From CFD to FEA, AI enhances every aspect of simulation, delivering faster, more accurate results. Experience the next generation of intelligent engineering solutions.

Heat Transfer-Equipment, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence

Chemical Processing: Heat Transfer-Equipment

Mixer Design

Mixing is a crucial step in many chemical processes, and reactor design is a key factor in ensuring that mixing is efficient and effective. A well-designed reactor can help optimize mixing conditions and ensure that reactions proceed smoothly, while a poorly designed reactor can lead to inefficiencies, low yields, and other problems.

There are several factors that go into designing a reactor for optimal mixing. These include the physical properties of the materials being mixed, the desired reaction conditions, and the type of mixing system being used.

One important consideration is the choice of mixing system. There are many different types of mixing systems available, including mechanical agitators, static mixers, and jet mixers, each with its own advantages and disadvantages. The choice of mixing system will depend on the specific requirements of the process, as well as factors such as energy consumption, maintenance requirements, and cost.

Other important factors in reactor design include the size and shape of the reactor vessel, the location and type of impeller, and the speed and direction of impeller rotation. These factors can all affect the degree of mixing achieved, as well as the energy required to achieve that mixing.

AI Transforms Multiphysics Simulation.

Harness Artificial Intelligence & Machine Learning to solve complex multiphysics problems faster and more accurately. Optimize performance across fluid-structure interaction, thermal-electrical coupling, and more. Drive innovation with intelligent simulation.

Mixer Design, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence

Chemical Processing: Mixer Design

Multiphase Simulation

One common application of multiphase simulation in chemical processing is in the design and optimization of mixing and separation processes. These processes involve the interaction of multiple phases, such as gases, liquids, and solids, and are critical to the production of many chemical products. Multiphase simulation allows engineers to optimize mixing and separation processes by predicting the behavior of the different phases under various operating conditions, such as flow rates and temperatures.

Another application is the design and optimization of reactors. Reactors are used in many chemical processes to convert raw materials into desired products. Multiphase simulation allows engineers to optimize reactor design by predicting the behavior of the different phases, such as gas-liquid or liquid-solid, and optimizing the reactor geometry and operating conditions for maximum efficiency and product yield.

In addition, multiphase simulation is also used in the design and optimization of fluidized bed reactors, which are commonly used in the production of petrochemicals and in the refining of petroleum products. Fluidized bed reactors involve the movement of solid particles in a fluidized bed, and multiphase simulation allows engineers to optimize reactor design by predicting the behavior of the solid particles and their interaction with the fluid phase.

Generative Design + CFD: Topology-Optimized Fluid Dynamics

Combine genetic algorithms with RANS/LES simulations to auto-generate weight-optimized turbomachinery blades, heat sinks, and microfluidic devices.

Multiphase Simulation, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence

Chemical Processing: Multiphase Simulation

Reactor Design & Combustion

CFD simulation with detailed chemistry involves the use of reaction kinetics and thermodynamic data to model the chemical reactions occurring inside the reactor. The simulation can be used to model various types of reactors, including batch, semi-batch, and continuous flow reactors. The simulation takes into account the reaction mechanism, reaction rate, and heat transfer during the reaction to provide a comprehensive analysis of the reactor performance.

CFD simulation also allows engineers to optimize the design of the reactor by evaluating the impact of different operating conditions on the reaction efficiency and product quality. For example, CFD simulation can be used to determine the optimal reactor temperature, pressure, and flow rates for maximum product yield and quality.

In addition to reactor design, CFD simulation is also used in combustion processes for chemical processing. Combustion involves the reaction of fuel with oxygen to produce heat and products, such as carbon dioxide and water. CFD simulation can be used to model the combustion process, including the flow of fuel and air, combustion chemistry, and heat transfer. This simulation allows engineers to optimize the combustion process for maximum efficiency and minimum emissions.

Cognitive FEA: Machine Learning-Predictive Structural Integrity

Deploy graph neural networks (GNNs) to forecast nonlinear material deformation, crack propagation, and fatigue failure. Train AI on legacy FEA datasets for ISO-certified validation of aerospace composites, additive manufacturing defects, and seismic-resistant infrastructure.

Reactor Design & Combustion, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence

Chemical Processing: Reactor Design & Combustion

Aerospace & Defence

Automotive Engineering