Johannes Carl Erik Quist

@fcc.chalmers.se

Computational Engineering & Design
Fraunhofer-Chalmers Centre

Johannes Carl Erik Quist


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https://researchid.co/johannesquist

RESEARCH, TEACHING, or OTHER INTERESTS

Modeling and Simulation, Mechanical Engineering, Civil and Structural Engineering, Geophysics
13

Scopus Publications

1046

Scholar Citations

12

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Modeling, parametrizing, and simulating a DEM-based soil model for industrial applications
    Sebastian Emmerich, Georg Franosch, Michael Burger, Anita Ullrich, Johannes Quist
    Multibody System Dynamics, 2026
    Simulation and simulation-assisted methods have a large impact for product development in many industrial fields. Multibody dynamics (MBD) simulation, for instance, is an established method used for durability analysis and energy efficiency calculations in vehicle engineering, based on its ability to provide accurate prediction of interaction forces. In the domain of off-road vehicles and heavy machinery, such considerations need to be expanded by a method to model the soil and its interaction with the vehicle, i.e., the soil–tool interaction, as the resulting forces may drastically influence the durability and energy efficiency of the machine. Therefore, the model must be chosen carefully to maintain the high accuracy in the force prediction for the soil–tool interaction, as required for a reliable and robust product development. In this contribution, we present a workflow to tackle this topic, based on a cosimulation scheme between an MBD-based vehicle model and a particle simulation realized in the Discrete Element Method (DEM). The simulated soil is parametrized and validated by matching simulation results from a virtual experiment with measurement data from real-world soil laboratory experiments as the triaxial compression test. Using this process, the applicability and performance of the numerical methods can be determined.
  • Efficient DEM calibration of AM powders using a rotating drum through Froude number scaling
    Negar Sani, Johannes Quist, Sofia Kazi, Gowtham Soundarapandiyan, Gustav Kettil, et al.
    Progress in Additive Manufacturing, 2026
    Powder qualification in additive manufacturing (AM) is a complex process, requiring extensive know-how to ensure that powder properties are suitable for a specific hardware solution and AM process. This qualification is typically performed through trial-and-error methods, which are costly, time-consuming, and provide little insight into powder behavior. Without a deeper understanding of powder properties, opportunities for optimizing either the powder itself or the recoating mechanism remain unexplored. The Discrete Element Method (DEM) offers a solution by enabling virtual powder characterization and parameter optimization. A method is proposed for calibrating a DEM model of AM powder that incorporates the real particle size distribution by properly scaling the system geometry rather than relying on coarse-graining techniques. A surrogate model-based calibration approach is employed to adjust DEM model parameters simultaneously, capturing their interdependencies and combined effects. A revolution device serves as the experimental reference for the calibration process. To reduce computational costs, a scaled-down simulation setup is introduced while maintaining dimensions significantly larger than the particle size. The calibration method is demonstrated using two widely used AM powders: Inconel 718 and Ti-6Al-4V (Ti64). The geometry down-scaling approach is validated through simulations with the calibrated model across various scaling factors. Additionally, the simulations provide insights into avalanche progression and size segregation in the revolution device. The contribution of this work is a calibration strategy for DEM-based powder modeling in AM that explicitly accounts for the real particle size distribution and is supported by validation in the revolution device. This provides a basis for reliable representation of powders in rotating drum flow, while future work should clarify the extent to which the calibrated state corresponds to the granular dynamical response during recoating. Graphic abstract
  • Advances in discrete element modeling of rock fracture for next-generation comminution models
    Vedad Tojaga, Mijo Nikolić, Michael Denzel, Jacinto Ulloa, Adnan Ibrahimbegovic, et al.
    Computational Particle Mechanics, 2025
    This paper provides a methodological overview of the current state of the art in discrete element modeling of rock fracture in the context of comminution, an energy-intensive process of breaking down rocks into smaller sizes. This process is essential for liberating valuable metals and minerals that are in growing demand for the green transition and the electrification of society. The paper covers the most recent developments and addresses fundamental issues in the bonded discrete element method, the lattice element method, the particle replacement method, and the level-set discrete element method. We argue that the most effective modeling approach must emerge from a synergy between solid mechanics, rock mechanics, and the comminution field—an effort made by this collaborating multidisciplinary group, with the goal of making the next generation of comminution models, powered by GPU-accelerated high-performance computing, more reflective of real-life rock behavior, advancing energy-efficient mining.
  • Multiscale modeling of rock fracture in comminution — A comparative study of FEM accuracy and DEM scalability
    Laura Suarez, Vedad Tojaga, Erik Olsson, Adam Bilock, Magnus Evertsson, et al.
    Minerals Engineering, 2025
  • 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, et al.
    Frontiers in Built Environment, 2024
    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, et al.
    Lecture Notes in Civil Engineering, 2023
  • 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, et al.
    Journal of Manufacturing Science and Engineering Transactions of the ASME, 2022
    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, et al.
    Minerals, 2021
    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, et al.
    ASME International Mechanical Engineering Congress and Exposition Proceedings Imece, 2020
    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, Erik Hulthén
    Minerals Engineering, 2017
  • Cone crusher modelling and simulation using DEM
    Johannes Quist, Carl Magnus Evertsson
    Minerals Engineering, 2016
  • The contribution of DEM to the science of comminution
    N.S. Weerasekara, M.S. Powell, P.W. Cleary, L.M. Tavares, M. Evertsson, et al.
    Powder Technology, 2013
  • Application of discrete element method for simulating feeding conditions and size reduction in cone crushers
    Xxv International Mineral Processing Congress 2010 Impc 2010, 2010

RECENT SCHOLAR PUBLICATIONS

  • Efficient DEM calibration of AM powders using a rotating drum through Froude number scaling
    N Sani, J Quist, S Kazi, G Soundarapandiyan, G Kettil, L Cordova, ...
    Progress in Additive Manufacturing, 1-15 , 2026
    2026
  • Modeling, parametrizing, and simulating a DEM-based soil model for industrial applications
    S Emmerich, G Franosch, M Burger, A Ullrich, J Quist
    Multibody System Dynamics 66 (2), 387-402 , 2026
    2026
    Citations: 2
  • Advances in discrete element modeling of rock fracture for next-generation comminution models
    V Tojaga, M Nikolić, M Denzel, J Ulloa, A Ibrahimbegovic, M Evertsson, ...
    Computational particle mechanics 12 (6), 4431-4449 , 2025
    2025
    Citations: 3
  • Multiscale modeling of rock fracture in comminution—A comparative study of FEM accuracy and DEM scalability
    L Suarez, V Tojaga, E Olsson, A Bilock, M Evertsson, J Kajberg, J Quist
    Minerals Engineering 232, 109488 , 2025
    2025
    Citations: 6
  • 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
    2024
    Citations: 10
  • Modeling rock fracture in large particle comminution systems
    L Suarez, V Tojaga, E Olsson, A Bilock, M Evertsson, J Kajberg, J Quist
    2024
  • A DEM-FEM coupling approach to model wheel loader bucket loading
    A Ullrich, J Quist, C Cromvik
    11th international conference on conveying and handling of particulate … , 2024
    2024
    Citations: 1
  • Differential compaction from heavy machinery traffic in road construction
    J Quist
    SBUF , 2023
    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
    2023
    Citations: 5
  • Process robustness criteria for industrial vibratory screens
    J Quist, M Evertsson, A Bilock, K Jareteg
    Comminution'23, Cape Town , 2023
    2023
  • Advancing dynamic process modeling of comminution and classification circuits: a paradigm shift with gpu-enabled dem solver
    J Quist, E Edelvik
    particles2023 , 2023
    2023
    Citations: 1
  • Influence of feeding condition on crusher performance and fatigue life
    M Evertsson, J Quist, A Bilock, K Jareteg
    Comminution , 2023
    2023
    Citations: 1
  • 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
    2022
    Citations: 3
  • A Simulation study on the effect of particle size distribution on the printed geometry in selective laser melting
    VR Sagar, S Lorin, J Göhl, J Quist, K Jareteg, C Cromvik, A Mark, ...
    Journal of Manufacturing Science and Engineering 144 (5), 051006 , 2022
    2022
    Citations: 13
  • Applied calibration and validation method of dynamic process simulation for crushing plants
    K Bhadani, G Asbjörnsson, B Schnitzer, J Quist, C Hansson, E Hulthén, ...
    Minerals 11 (9), 921 , 2021
    2021
    Citations: 9
  • Undersökning av separationseffekter vid kompaktering av obundna material
    J Quist, K Jareteg, A Bilock, A Persson
    SBUF ID 13820, 56 , 2021
    2021
    Citations: 4
  • Investigating the Sensitivity of Particle Size Distribution on Part Geometry in Additive Manufacturing
    V Ramesh Sagar, S Lorin, J Göhl, J Quist, C Cromvik, A Mark, K Jareteg, ...
    ASME International Mechanical Engineering Congress and Exposition 84492 … , 2020
    2020
    Citations: 2
  • Cone crusher performance evaluation using DEM simulations and laboratory experiments for model validation
    M Johansson, J Quist, M Evertsson, E Hulthén
    Minerals Engineering 103, 93-101 , 2017
    2017
    Citations: 81
  • Impact of Feeding Position on Power Draw and Size Reduction in a Cone Crusher
    A Gröndahl, G Asbjörnsson, J Quist, E Hulthén, M Evertsson
    The 15th European Symposium on Comminution and Classification , 2017
    2017
    Citations: 5
  • 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
    2017
    Citations: 14

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
    2013
    Citations: 479
  • Cone crusher modelling and simulation using DEM
    J Quist, CM Evertsson
    Minerals Engineering 85, 92-105 , 2016
    2016
    Citations: 180
  • Cone crusher performance evaluation using DEM simulations and laboratory experiments for model validation
    M Johansson, J Quist, M Evertsson, E Hulthén
    Minerals Engineering 103, 93-101 , 2017
    2017
    Citations: 81
  • Cone crusher modelling and simulation
    J Quist
    2012
    Citations: 48
  • Framework for DEM model calibration and validation
    J Quist, M Evertsson
    Proceedings of the 14th European Symposium on Comminution and Classification … , 2015
    2015
    Citations: 32
  • Application of discrete element method for simulating feeding conditions and size reduction in cone crushers
    J Quist, CM Evertsson
    XXV International Mineral Processing Congress , 2010
    2010
    Citations: 31
  • DEM modelling and simulation of cone crushers and high pressure grinding rolls
    JCE Quist
    PQDT-Global , 2017
    2017
    Citations: 22
  • Simulating pressure distribution in high pressure grinding rolls using the discrete element method
    J Quist, M Evertsson
    Minerals Engineering International-Comminution Conference 12', 14 , 2012
    2012
    Citations: 20
  • The effect of liner wear on gyratory crushing—A DEM case study
    J Quist, CM Evertsson, J Franke
    Computational Modeling 11 , 2011
    2011
    Citations: 18
  • 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
    2017
    Citations: 14
  • A Simulation study on the effect of particle size distribution on the printed geometry in selective laser melting
    VR Sagar, S Lorin, J Göhl, J Quist, K Jareteg, C Cromvik, A Mark, ...
    Journal of Manufacturing Science and Engineering 144 (5), 051006 , 2022
    2022
    Citations: 13
  • Simulating capacity and breakage in cone crushers using DEM
    J Quist, M Evertsson
    7th International Comminution Symposium by MEI , 2010
    2010
    Citations: 12
  • Students perspectives on video-based learning in CDIO-based project courses
    K Bhadani, C Stöhr, E Hulthén, J Quist, M Bengtsson, M Evertsson, ...
    Proceedings of the 13th International CDIO Conference, Calgary, Canada , 2017
    2017
    Citations: 11
  • 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
    2024
    Citations: 10
  • Applied calibration and validation method of dynamic process simulation for crushing plants
    K Bhadani, G Asbjörnsson, B Schnitzer, J Quist, C Hansson, E Hulthén, ...
    Minerals 11 (9), 921 , 2021
    2021
    Citations: 9
  • Monitoring and validation of life time prediction of cone crusher with respect to loading and feeding conditions
    M Evertsson, J Quist, M Bengtsson, E Hulthén
    Comminution 16, Cape Town, 11-14 April, 2016 904 , 2016
    2016
    Citations: 9
  • 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
    2012
    Citations: 8
  • Multiscale modeling of rock fracture in comminution—A comparative study of FEM accuracy and DEM scalability
    L Suarez, V Tojaga, E Olsson, A Bilock, M Evertsson, J Kajberg, J Quist
    Minerals Engineering 232, 109488 , 2025
    2025
    Citations: 6
  • 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
    2023
    Citations: 5
  • Impact of Feeding Position on Power Draw and Size Reduction in a Cone Crusher
    A Gröndahl, G Asbjörnsson, J Quist, E Hulthén, M Evertsson
    The 15th European Symposium on Comminution and Classification , 2017
    2017
    Citations: 5