Johannes Carl Erik Quist
@fcc.chalmers.se
Computational Engineering & Design
Fraunhofer-Chalmers Centre
RESEARCH, TEACHING, or OTHER INTERESTS
Modeling and Simulation, Mechanical Engineering, Civil and Structural Engineering, Geophysics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Alex Eriksson, Anita Ullrich, Chao Wang, Jaime Gonzalez-Libreros, Johan Johansson, Ola Enoksson, Johannes Quist, and Gabriel Sas
Springer Nature Switzerland
Vaishak Ramesh Sagar, Samuel Lorin, Johan Göhl, Johannes Quist, Klas Jareteg, Christoffer Cromvik, Andreas Mark, Fredrik Edelvik, Kristina Wärmefjord, and Rikard Söderberg
ASME International
Abstract Selective laser melting (SLM) process is a powder bed fusion additive manufacturing process that finds applications in aerospace and medical industries for its ability to produce complex geometry parts. As the raw material used is in the powder form, particle size distribution (PSD) is a significant characteristic that influences the build quality in turn affecting the functionality and esthetic aspects of the product. This article investigates the effect of PSD on the printed geometry for 316L stainless steel pow der, where three coupled in-house simulation tools based on discrete element method (DEM), computational fluid dynamics (CFD), and structural mechanics are employed. DEM is used for simulating the powder bed distribution based on the different powder PSD. The CFD is used as a virtual testbed to determine thermal parameters such as heat capacity and thermal conductivity of the powder bed viewed as a continuum. The values found as a stochastic function of the powder distribution are used to analyze the effect on the melted zone and deformation using structural mechanics. Results showed that mean particle size and PSD had a significant effect on the packing density, melt pool layer thickness, and the final layer thickness after deformation. Specifically, a narrow particle size distribution with smaller mean particle size and standard deviation produced solidified final layer thickness closest to nominal layer thickness. The proposed simulation approach and the results will catalyze the development of geometry assurance strategies to minimize the effect of particle size distribution on the geometric quality of the printed part.
Kanishk Bhadani, Gauti Asbjörnsson, Barbara Schnitzer, Johannes Quist, Christian Hansson, Erik Hulthén, and Magnus Evertsson
MDPI AG
There is a need within the production industry for digitalization and the development of meaningful functionality for production operation. One such industry is aggregate production, characterized by continuous production operation, where the digital transformation can bring operational adaptability to customer demand. Dynamic process simulations have the ability to capture the change in production performance of aggregate production over time. However, there is a need to develop cost-efficient methodologies to integrate calibrations and validation of models. This paper presents a method of integrating an experimental and data-driven approach for calibration and validation for crushing plant equipment and a process model. The method uses an error minimization optimization formulation to calibrate the equipment models, followed by the validation of the process model. The paper discusses various details such as experimental calibration procedure, applied error functions, optimization problem formulation, and the future development needed to completely realize the procedure for industrial use. The validated simulation model can be used for performing process planning and process optimization activities for the crushing plant’s operation.
Vaishak Ramesh Sagar, Samuel Lorin, Johan Göhl, Johannes Quist, Christoffer Cromvik, Andreas Mark, Klas Jareteg, Fredrik Edelvik, Kristina Wärmefjord, and Rikard Söderberg
American Society of Mechanical Engineers
Abstract Selective laser melting process is a powder bed fusion additive manufacturing process that finds applications in aerospace and medical industries for its ability to produce complex geometry parts. As the raw material used is in powder form, particle size distribution (PSD) is a significant characteristic that influences the build quality in turn affecting the functionality and aesthetics aspects of the end product. This paper investigates the effect of PSD on deformation for 316L stainless steel powder, where three coupled in-house simulation tools based on Discrete Element Method (DEM), Computational Fluid Dynamics (CFD), and Structural Mechanics are employed. DEM is used for simulating the powder distribution based on the different particle size distribution of the powder. The CFD is used as a virtual test bed to determine thermal parameters such as density, heat capacity and thermal conductivity of the powder bed viewed as a continuum. The values found as a stochastic function of the powder distribution is used to test the sensitivity of the melted zone and distortion using Structural Mechanics. Results showed significant influence of particle size distribution on the packing density, surface height, surface roughness, the stress state and displacement of the melted zone. The results will serve as a catalyst in developing geometry assurance strategies to minimize the effect of particle size distribution on the geometric quality of the printed part.
Marcus Johansson, Johannes Quist, Magnus Evertsson, and Erik Hulthén
Elsevier BV
Johannes Quist and Carl Magnus Evertsson
Elsevier BV
N.S. Weerasekara, M.S. Powell, P.W. Cleary, L.M. Tavares, M. Evertsson, R.D. Morrison, J. Quist, and R.M. Carvalho
Elsevier BV