Markus Richter, an accomplished expert in additive manufacturing simulation using Abaqus, hails from Germany. With a strong educational background, extensive experience, and deep expertise in simulation for additive manufacturing processes, Markus has established himself as a leading authority in the field of 3D printing simulations.

Education and Early Career:
Markus obtained his Bachelor’s degree in Mechanical Engineering from the Technical University of Munich, where he developed a passion for advanced manufacturing technologies. Intrigued by the potential of additive manufacturing, he pursued further education and completed a Master’s degree in Materials Science and Engineering, specializing in additive manufacturing processes.

Professional Accomplishments:
After completing his education, Markus joined a renowned engineering company in Stuttgart, where he focused on additive manufacturing simulations using Abaqus. His exceptional understanding of the intricate interactions between process parameters, material behavior, and part quality quickly gained recognition. Markus’s expertise allowed him to work on a wide range of projects, including aerospace components, medical devices, and automotive applications.

Expertise and Contributions:
Markus Richter’s expertise lies in the simulation and optimization of additive manufacturing processes using Abaqus. He has an in-depth understanding of the complex phenomena involved in 3D printing, including heat transfer, solidification, residual stress, and distortion. Markus specializes in accurately predicting the formation of defects, such as warpage, porosity, and microstructure variations, and optimizing process parameters to enhance part quality.

Using Abaqus, Markus has successfully simulated various additive manufacturing techniques, such as selective laser melting (SLM), fused deposition modeling (FDM), and stereolithography (SLA). He excels in modeling the behavior of different materials, including metals, polymers, and composites, during the additive manufacturing process. Markus’s expertise also extends to simulating post-processing operations, such as heat treatment and machining, to predict the final part performance accurately.

Markus actively stays updated with the latest advancements in additive manufacturing technologies and simulation methodologies. He collaborates with research institutions and industry experts to explore new materials, process innovations, and simulation techniques. Markus is known for his ability to provide actionable insights to optimize designs, reduce production costs, and improve the overall efficiency of additive manufacturing processes.

Bolting Steel to Concrete in Composite Beams: ABAQUS Simulation Validated Against Experiments

 140.0
Composite beams with welded stud shear connectors pose challenges in terms of disassembly and reuse, which impacts their sustainability. By bolting steel to concrete, we can aquire a more sustainable alternative, facilitating easier disassembly and reuse. Engineers value concrete-steel bolted shear connections for their fatigue resistance, secure connections, and ease of disassembly. These factors make them suitable for various applications. Proper design is crucial for these connections to ensure effective shear force transfer and durability. This project provides valuable insights into analyzing bolted concrete-steel connections. It helps utilizing advanced modeling techniques in ABAQUS to simulate their behavior under different loading conditions. By addressing the benefits and challenges of experimental and numerical methods, this project enhances our understanding of composite connections. It enables improved construction practices. To ensure model’s accuracy, we compared the results with the experimental data, for steel concrete bolts. The project specifically helps you to simulate the bahavior of steel concrete composite beams in the following paper. “A study on structural performance of deconstructable bolted shear connectors in composite beams”  

LPBF Printing Simulation in Abaqus | 3D Printing with Laser Powder Bed Fusion Process (LPBF) Method

 150.0
(1)
3D printing is a process of creating three-dimensional objects by layering materials, such as plastic or metal, based on a digital design. 3D printing simulation involves using software to predict and optimize the printing process, allowing for more efficient and accurate production. This educational package includes two 3D printing modeling methods. The first method is based on the use of subroutines and Python scripting. After an introduction to the 3D printing process, the first method with all of its detail is explained; then, there would be two workshops for this method; the first workshop is for the 3D printing simulation of a gear with uniform cross-section and the second one is for a shaft with non-uniform cross-section. The second method uses a plug-in called AM Modeler. With this plug-in, the type of 3D printing can be selected, and after inserting the required inputs and applying some settings, the 3D printing simulation is done without any need for coding. Two main workshops will be taught to learn how to use this plug-in: "Sequential thermomechanical analysis of simple cube one-direction with LPBF 3D printing method using the trajectory-based method with AM plug-in" and "3D printing simulation with Fusion deposition modeling and Laser direct energy deposition method with AM plug-in".

FDM Simulation in Abaqus | Simulating 3D Printing with Fused Deposition Modeling

 200.0
(1)
3D printing is the process of fabricating objects in three dimensions by adding layers of materials, such as plastic or metal, based on a digital design. Simulation for 3D printing involves the use of software to predict and optimize the printing process, enabling more efficient and precise production. This educational package includes a simulation specifically for 3D printing using Fused Deposition Modeling (FDM). The FDM simulation employs a plug-in known as AM Modeler, which allows users to select the desired 3D printing method. By inputting the necessary parameters and adjusting settings, the 3D printing simulation can be performed without requiring any coding. A workshop will be conducted to teach participants how to utilize this plug-in effectively, focusing on "3D printing simulation with Fused Deposition Modeling and Laser Direct Energy Deposition method using the AM plug-in."

Additive manufacturing simulation with Abaqus AM modeler plugin

 340.0
(14)
3D printing is the layer-by-layer creation of three-dimensional objects using materials such as plastic or metal, based on a digital design. Simulation of the 3D printing process involves software that predicts and enhances the printing process for efficient and accurate production. This training package includes the use of the Abaqus AM Modeler plug-in, which allows for selecting the type of 3D printing and conducting the simulation without coding. Two workshops will be taught to master the use of this plug-in: "Sequential Thermomechanical Analysis of Simple Cube One-Direction with LPBF 3D Printing Method Using the Trajectory-Based Method with AM Plug-In" and "3D Printing Simulation with Fusion Deposition Modeling and Laser Direct Energy Deposition Method with AM Plug-In".

Additive manufacturing simulation with Abaqus subroutine & python | 3D printing Python

 350.0
(5)
3D printing is a technique for creating three-dimensional objects by layering materials such as plastic or metal based on a digital design. 3D printing simulation involves the use of software to predict and enhance the printing process, resulting in more efficient and precise production. This training package is based on the use of subroutines and Python scripting. Following an introduction to the 3D printing process, this method with all its details is explained. Two workshops are then conducted for this method. The first workshop covers 3D printing simulation of a gear with a uniform cross-section, while the second workshop covers a shaft with a non-uniform cross-section.

Additive Manufacturing or 3D Printing Abaqus simulation

 440.0
(11)
3D printing is a process of creating three-dimensional objects by layering materials, such as plastic or metal, based on a digital design. 3D printing simulation involves using software to predict and optimize the printing process, allowing for more efficient and accurate production. This educational package includes two 3D printing modeling methods. The first method is based on the use of subroutines and Python scripting. After an introduction to the 3D printing process, the first method with all of its detail is explained; then, there would be two workshops for this method; the first workshop is for the 3D printing simulation of a gear with uniform cross-section and the second one is for a shaft with non-uniform cross-section. The second method uses a plug-in called AM Modeler. With this plug-in, the type of 3D printing can be selected, and after inserting the required inputs and applying some settings, the 3D printing simulation is done without any need for coding. Two main workshops will be taught to learn how to use this plug-in: "Sequential thermomechanical analysis of simple cube one-direction with LPBF 3D printing method using the trajectory-based method with AM plug-in" and "3D printing simulation with Fusion deposition modeling and Laser direct energy deposition method with AM plug-in".