Johannes Carl Erik Quist

@fcc.chalmers.se

Computational Engineering & Design
Fraunhofer-Chalmers Centre

https://researchid.co/johannesquist

RESEARCH, TEACHING, or OTHER INTERESTS

Modeling and Simulation, Mechanical Engineering, Civil and Structural Engineering, Geophysics

Scopus Publications

876

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

A hybrid workflow connecting a network and an agent-based model for predictive pedestrian movement modelling
Anita Ullrich, Franziska Hunger, Ioanna Stavroulaki, Adam Bilock, Klas Jareteg, Yury Tarakanov, Alexander Gösta, Johannes Quist, Meta Berghauser Pont, and Fredrik Edelvik
Frontiers Media SA
Pedestrian movement has always been one of the main concerns for urban planning and design, but it has become more important within the sustainable development agenda, as walking is crucial to reducing urban emissions and fostering liveable cities. Therefore, urban planners need to take pedestrian movement into consideration as part of the workflow of planning and designing cities. This study outlines a comprehensive workflow tailored for urban planners. It proposes a hybrid model that integrates an agent-based model, which simulates the micro-scale movement of pedestrians in outdoor urban environments, with a network model, which predicts the aggregated pedestrian flows on a macro-scale. The hybrid model is applied to a pedestrian precinct in the city centre of Gothenburg, Sweden, and is compared to real-world measurements. The reasonable agreement between the simulation results and the real-world data supports the reliability of the proposed workflow, underscoring the model’s ability to statistically predict pedestrian movement on a large scale and individually on a local scale. Furthermore, the model enables the analysis of flow distributions and movement restrictions and facilitates the analysis of different design scenarios and specific pedestrian behaviour. This functionality is valuable for urban design and planning practice, contributing to the optimisation of pedestrian flow dynamics.

Numerical and Analytical Evaluation of Load Distribution Patterns on Ballasted Concrete Railway Bridges
Alex Eriksson, Anita Ullrich, Chao Wang, Jaime Gonzalez-Libreros, Johan Johansson, Ola Enoksson, Johannes Quist, and Gabriel Sas
Springer Nature Switzerland

A Simulation Study on the Effect of Particle Size Distribution on the Printed Geometry in Selective Laser Melting
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.

Applied calibration and validation method of dynamic process simulation for crushing plants
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.

Investigating the sensitivity of particle size distribution on part geometry in additive manufacturing
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.

Cone crusher performance evaluation using DEM simulations and laboratory experiments for model validation
Marcus Johansson, Johannes Quist, Magnus Evertsson, and Erik Hulthén
Elsevier BV

Cone crusher modelling and simulation using DEM
Johannes Quist and Carl Magnus Evertsson
Elsevier BV

The contribution of DEM to the science of comminution
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

Application of discrete element method for simulating feeding conditions and size reduction in cone crushers

RECENT SCHOLAR PUBLICATIONS

Modelling, Parametrizing and Simulating a DEM-Based Soil-Model for Industrial Applications
S Emmerich, G Franosch, M Burger, A Ullrich, J Quist
2024

A hybrid workflow connecting a network and an agent-based model for predictive pedestrian movement modelling
A Ullrich, F Hunger, I Stavroulaki, A Bilock, K Jareteg, Y Tarakanov, ...
Frontiers in Built Environment 10, 1447377 2024

Modeling rock fracture in large particle comminution systems
L Suarez, V Tojaga, E Olsson, A Bilock, M Evertsson, J Kajberg, J Quist
2024

Differential compaction from heavy machinery traffic in road construction
J Quist
SBUF 2023

Numerical and Analytical Evaluation of Load Distribution Patterns on Ballasted Concrete Railway Bridges
A Eriksson, A Ullrich, C Wang, J Gonzalez-Libreros, J Johansson, ...
International Symposium of the International Federation for Structural 2023

Influence of feeding condition on crusher performance and fatigue life
M Evertsson, J Quist, A Bilock, K Jareteg
Comminution 2023

Efficient and Robust Parameter Identification for Soil modeled via the Discrete Element Method
J Jahnke, S Steidel, M Burger, K Jareteg, J Quist
International Commercial Vehicle Technology Symposium, 52-63 2022

A Simulation study on the effect of particle size distribution on the printed geometry in selective laser melting
VR Sagar, S Lorin, J Ghl, J Quist, K Jareteg, C Cromvik, A Mark, ...
Journal of Manufacturing Science and Engineering 144 (5), 051006 2022

Applied calibration and validation method of dynamic process simulation for crushing plants
K Bhadani, G Asbjrnsson, B Schnitzer, J Quist, C Hansson, E Hulthn, ...
Minerals 11 (9), 921 2021

Underskning av separationseffekter vid kompaktering av obundna material
J Quist, K Jareteg, A Bilock, A Persson
Gteborg 2021

Investigating the Sensitivity of Particle Size Distribution on Part Geometry in Additive Manufacturing
V Ramesh Sagar, S Lorin, J Ghl, J Quist, C Cromvik, A Mark, K Jareteg, ...
ASME International Mechanical Engineering Congress and Exposition 84492 2020

Investigating the sensitivity of particle size distribution on part geometry in additive manufacturing
VR Sagar, S Lorin, J Ghl, J Quist, C Cromvik, A Mark, K Jareteg, ...
International Mechanical Engineering Congress and Exposition (IMECE) 2020 2020

Cone crusher performance evaluation using DEM simulations and laboratory experiments for model validation
M Johansson, J Quist, M Evertsson, E Hulthn
Minerals Engineering 103, 93-101 2017

CDIO based engineering design and optimization course
J Quist, K Bhadani, M Bengtsson, M Evertsson, J Malmqvist, M Enelund, ...
Proceedings of the 13th International CDIO Conference, Calgary, June 18-22 2017

Students perspectives on video-based learning in CDIO-based project courses
K Bhadani, C Sthr, E Hulthn, J Quist, M Bengtsson, M Evertsson, ...
Proceedings of the 13th International CDIO Conference, Calgary, Canada 2017

DEM modelling and simulation of cone crushers and high pressure grinding rolls
JCE Quist
PQDT-Global 2017

Utveckling av energieffektiv kross-och malprocess fr gruvindustrin
A Grndahl, M Jeresi, J Karlsson, V Nilsson
2016

Monitoring and validation of life time prediction of cone crusher with respect to loading and feeding conditions
M Evertsson, J Quist, M Bengtsson, E Hulthn
Comminution 16, Cape Town, 11-14 April, 2016 904 2016

Investigation of roller pressure and shear stress in the HPGR using DEM
J Quist, M Evertsson
XXVIII Int. Miner. Process. Congr. Proc. 1 2016

Cone crusher modelling and simulation using DEM
J Quist, CM Evertsson
Minerals Engineering 85, 92-105 2016

MOST CITED SCHOLAR PUBLICATIONS

The contribution of DEM to the science of comminution
NS Weerasekara, MS Powell, PW Cleary, LM Tavares, M Evertsson, ...
Powder technology 248, 3-24 2013
Citations: 419

Cone crusher modelling and simulation using DEM
J Quist, CM Evertsson
Minerals Engineering 85, 92-105 2016
Citations: 155

Cone crusher performance evaluation using DEM simulations and laboratory experiments for model validation
M Johansson, J Quist, M Evertsson, E Hulthn
Minerals Engineering 103, 93-101 2017
Citations: 68

Cone crusher modelling and simulation
J Quist
2012
Citations: 43

Application of discrete element method for simulating feeding conditions and size reduction in cone crushers
J Quist, CM Evertsson
XXV International Mineral Processing Congress (IMPC) 2010 Proceedings 2010
Citations: 30

Framework for DEM model calibration and validation
J Quist, M Evertsson
Proceedings of the 14th European Symposium on Comminution and Classification 2015
Citations: 27

Simulating pressure distribution in high pressure grinding rolls using the discrete element method
J Quist, CM Evertsson
Minerals Engineering International-Comminution Conference 12' 2012
Citations: 20

DEM modelling and simulation of cone crushers and high pressure grinding rolls
JCE Quist
PQDT-Global 2017
Citations: 19

The effect of liner wear on gyratory crushing—A DEM case study
J Quist, CM Evertsson, J Franke
Computational Modeling 11 2011
Citations: 15

Simulating capacity and breakage in cone crushers using DEM
JCE Quist, CM Evertsson
Comminution 10 2010
Citations: 12

Cone crusher modelling and simulation-Developement of a virtual rock crushing environment based on the discrete element method with industrial scale experiments for validation
J Quist
Unpublished MS Thesis, Chalmers University of Technology, Goteborg, Sweden 2012
Citations: 6

Applied calibration and validation method of dynamic process simulation for crushing plants
K Bhadani, G Asbjrnsson, B Schnitzer, J Quist, C Hansson, E Hulthn, ...
Minerals 11 (9), 921 2021
Citations: 5

Simulating breakage and hydro-mechanical dynamics in high pressure grinding rolls using the discrete element method
J Quist, CM Evertsson
ESCC 2013 (European Symposium on Comminution & Classification), 209 2013
Citations: 3

Investigation of high speed cone crushing using laboratory scale experiments and DEM
M Johansson, J Quist, M Evertsson, E Hulthn
Proceedings of the 14th European Symposium on Comminution and Classification 2015
Citations: 2

Discrete Element Modelling and Simulation of Compressive Crushing
J Quist
Department of Product and Production Development, Chalmers University of 2015
Citations: 2