Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique

Amir Horr; Johannes Kronsteiner

doi:10.3390/books978-3-7258-1086-4

Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique

LKR Light Metals Technologies

Research output: Chapter in Book or Conference Proceedings › Book chapter › peer-review

Original language	English
Title of host publication	Material Modeling in Multiphysics Simulation
Editors	Francesco De Bona, Jelena Srnec Novak, Francesco Mocera
Pages	94-116
ISBN (Electronic)	978-3-7258-1086-4
DOIs	https://doi.org/10.3390/books978-3-7258-1086-4
Publication status	Published - 1 Mar 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Field

Numerical Simulation of Lightweight Components and Processes

Web of Science subject categories (JCR Impact Factors)

Engineering, Manufacturing
Metallurgy & Metallurgical Engineering

Access to Document

10.3390/books978-3-7258-1086-4Licence: CC BY

On Performance of Data Models and Machine Learning Routines for Simulations of Casting Processes
Horr, A., Blacher, D. & Gómez Vázquez, R., 8 Jan 2025, In: BHM Berg- und Hüttenmännische Monatshefte. 2025
Research output: Contribution to journal › Article › peer-review

Open Access
Real-Time Models for Manufacturing Processes: How to Build Predictive Reduced Models
Horr, A. & Drexler, H., 16 Jan 2025, In: Processes (MDPI). 13, 1, 13 p., 252.
Research output: Contribution to journal › Article › peer-review

Open Access
Real-time Modelling and ML Data Training for Digital Twinning of Additive Manufacturing Processes
Horr, A., 29 Dec 2023, In: BHM Berg- und Hüttenmännische Monatshefte. 169, p. 48-56 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access

Cite this

@inbook{4cdb18ab1f4b4a8baa19bc5e25d409ce,

title = "Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique",

author = "Amir Horr and Johannes Kronsteiner",

year = "2024",

month = mar,

day = "1",

doi = "10.3390/books978-3-7258-1086-4",

language = "English",

isbn = "978-3-7258-1085-7 ",

pages = "94--116",

editor = "\{De Bona\}, Francesco and \{Srnec Novak\}, Jelena and Francesco Mocera",

booktitle = "Material Modeling in Multiphysics Simulation",

}

TY - CHAP

T1 - Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique

AU - Horr, Amir

AU - Kronsteiner, Johannes

PY - 2024/3/1

Y1 - 2024/3/1

U2 - 10.3390/books978-3-7258-1086-4

DO - 10.3390/books978-3-7258-1086-4

M3 - Book chapter

SN - 978-3-7258-1085-7

SP - 94

EP - 116

BT - Material Modeling in Multiphysics Simulation

A2 - De Bona, Francesco

A2 - Srnec Novak, Jelena

A2 - Mocera, Francesco

ER -

Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique

UN SDGs

Research Field

Web of Science subject categories (JCR Impact Factors)

Access to Document

Research output

On Performance of Data Models and Machine Learning Routines for Simulations of Casting Processes

Real-Time Models for Manufacturing Processes: How to Build Predictive Reduced Models

Real-time Modelling and ML Data Training for Digital Twinning of Additive Manufacturing Processes

Cite this