Laser hardening process optimization using FEM

Martinovs, Andris; Polukoshko, Svetlana; Zaicevs, Edgars; Rēvalds, Ritvars

doi:10.22616/erdev.2020.19.tf372

Cited by 3 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The material with few chemical compositions including Carbon, Chromium, Manganese, and Molybdenum in process shows different responses. [9]. https://doi.org/10.17770/het2022.26.6960…”

Section: Materialmentioning

confidence: 99%

LASER HARDENING PROCESS ON Ck 45 DEPENDING ON THE LASER PARAMETERS - a small review

Vorkalis

Lazov²

2023

HET

View full text Add to dashboard Cite

This study displays the effect of laser surface hardening parameters on the Ck 45 steel. The method is mostly based on experimental tests, with micro-hardness data being used to obtain the hardness profile Ck 45.The beauty of the surface laser hardening technique is that, it hardens a specific area without changing the surface qualities of the surrounding area. Due to its versatility and capacity to manufacture parts with complex geometry, laser heat treatment is regarded one of the best-performing manufacturing technologies currently in use.

show abstract

“…The material with few chemical compositions including Carbon, Chromium, Manganese, and Molybdenum in process shows different responses. [9]. https://doi.org/10.17770/het2022.26.6960…”

Section: Materialmentioning

confidence: 99%

LASER HARDENING PROCESS ON Ck 45 DEPENDING ON THE LASER PARAMETERS - a small review

Vorkalis

Lazov²

2023

HET

View full text Add to dashboard Cite

show abstract

“…FE model developed in Simufact. Welding software: a) full setup, b) cross-section of the weld seam.Material properties of the AISI 1045 steel substrate, such as density and thermal capacity are taken from the literature[24,25] (Fig.5a, b), whereas thermal conductivity was measured with Linseis LFA 1000 Laser Flash test machine (Linseis Messgeräte GmbH, Selb, Germany) (Fig.5c). Material properties of the AWS A5.18 wire are taken from the Simufact.Welding 2021.1 material database.…”

mentioning

confidence: 99%

“…Material properties of the AWS A5.18 wire are taken from the Simufact.Welding 2021.1 material database. Material properties of AISI 1045 as a function of temperature: a) density[24], b) heat capacity[25], c) thermal conductivity measured by Authors.…”

mentioning

confidence: 99%

Determination of welding heat source parameters for fem simulation based on temperature history and real bead shape

Szyndler

2023

Materials Research Proceedings

View full text Add to dashboard Cite

Abstract. To improve process understanding and increase the numerical prediction quality of a wire arc additive manufacturing (WAAM) process, this paper focuses on determining the parameters of a numerical model that reproduces an experimental setup of a welding process, with particular attention given to the actual shape of the weld bead. The dimensions of the heat source (HS) model in a welding process are determined based on experimentally measured weld pool sizes as well as temperature history at selected points below and adjacent to a weld seam. The whole experimental setup is accurately reproduced within the Simufact.Welding software and an optimization procedure is applied to obtain the best possible agreement between experimental and numerical results. A validated numerical model with reliable parameters for two heat sources is later used to predict and observe material behavior during the WAAM process of more complex parts.

show abstract

Recent Advances in Laser Surface Hardening: Techniques, Modeling Approaches, and Industrial Applications

Łach

2024

Crystals

View full text Add to dashboard Cite

The article provides a comprehensive review of the latest developments in the field of laser surface hardening (LSH) and its modeling techniques. LSH is a crucial process for enhancing the surface properties of metals, particularly their hardness and wear resistance, without compromising their bulk properties. This review highlights the fundamental principles of LSH, the types of lasers used, and the key parameters influencing the hardening process. It delves into various modeling approaches, including finite element method (FEM) simulations, analytical models, and empirical models (using statistical methods), emphasizing the integration of advanced computational techniques such as machine learning and artificial intelligence to improve the accuracy and efficiency of LSH simulations. The review also explores practical applications across different industries, showcasing how LSH models have been used to solve real-world challenges in the automotive, aerospace, and tool manufacturing sectors. Finally, it addresses current limitations and outlines future research directions, suggesting potential areas for further advancements in the modeling and application of LSH processes.

show abstract

Laser hardening process optimization using FEM

Cited by 3 publications

References 11 publications

LASER HARDENING PROCESS ON Ck 45 DEPENDING ON THE LASER PARAMETERS - a small review

LASER HARDENING PROCESS ON Ck 45 DEPENDING ON THE LASER PARAMETERS - a small review

Determination of welding heat source parameters for fem simulation based on temperature history and real bead shape

Recent Advances in Laser Surface Hardening: Techniques, Modeling Approaches, and Industrial Applications

Contact Info

Product

Resources

About