Advances in Industrial and Manufacturing Engineering最新文献

Hardfacing on high-strength steels: Properties of multiple times heated heat-affected zones 高强度钢堆焊：多次加热热影响区的性能

IF 6

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-09-17 DOI: 10.1016/j.aime.2025.100172

Ákos Meilinger, Gábor Terdik

{"title":"Hardfacing on high-strength steels: Properties of multiple times heated heat-affected zones","authors":"Ákos Meilinger, Gábor Terdik","doi":"10.1016/j.aime.2025.100172","DOIUrl":"10.1016/j.aime.2025.100172","url":null,"abstract":"<div><div>The use of high-strength steels as base materials for hardfacing is becoming increasingly important, particularly in applications subjected to frequent dynamic loads (e.g., demolition shears). The heat-affected zone (HAZ) of hardfaced components is significantly more complex than that in conventional welded joints. Adjacent hardfacing layers lead to the formation of HAZ subzones that undergo multiple thermal cycles, and these zones have not been thoroughly investigated before. High-strength steels are more sensitive to thermal cycles, and the properties of the HAZ subzones fundamentally determine the load-bearing capacity of hardfaced parts. In this study, S690QL, S960QL, and S1100QL base materials were used. Hardness testing identified the subzones subjected to three thermal cycles as the most critical. These specific subzones were reproduced using a Gleeble physical simulator by applying three successive thermal cycles. Instrumented impact tests were performed on the simulated specimens, and the results were analyzed statistically. Fractographic analysis was also conducted, revealing clear differences between fractured specimens through quantitative evaluation. For S690QL, the impact properties of the critical subzones did not show significant changes. In contrast, for S960QL, the subzones exposed to three thermal cycles demonstrated improved impact energy with reduced impact force. Surprisingly, the HAZ subzones of S1100QL exhibited impact energies more than three times higher than those of the base material. These results clearly indicate that the subzones subjected to three thermal cycles are softer, yet their impact properties are equal to or better than those of the base material.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"11 ","pages":"Article 100172"},"PeriodicalIF":6.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterization of sheet formability limits using a novel diagonal-cruciform test specimen 用一种新型的对角-十字形试样表征板材的成形性极限

IF 6

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-09-11 DOI: 10.1016/j.aime.2025.100171

Rui F.V. Sampaio , Eduardo B.G. Dias , João M.A. Viegas , João P.M. Pragana , Ivo M.F. Bragança , Carlos M.A. Silva , Paulo A.F. Martins

{"title":"Characterization of sheet formability limits using a novel diagonal-cruciform test specimen","authors":"Rui F.V. Sampaio , Eduardo B.G. Dias , João M.A. Viegas , João P.M. Pragana , Ivo M.F. Bragança , Carlos M.A. Silva , Paulo A.F. Martins","doi":"10.1016/j.aime.2025.100171","DOIUrl":"10.1016/j.aime.2025.100171","url":null,"abstract":"<div><div>This paper introduces an innovative diagonal-cruciform test specimen that significantly enhances the characterization of formability limits in sheet metal forming. The specimen's unique design features a reticular two-dimensional geometric structure, with four triangular arms connecting at the center, which effectively induce biaxial tension stress states when subjected to uniaxial loading. Furthermore, the incorporation of machined spherical cups at its center to locally reduce thickness ensures that damage accumulates in this region. Experimental strain loading paths are captured using digital image correlation (DIC) and analyzed with in-house software developed specifically for research and education on material formability. The software identifies and plots the onsets of necking and fracture in principal strain space, and results prove that the diagonal-cruciform specimen is highly effective in generating stable biaxial tension strain loading paths in C11000 copper sheets, operating under friction-independent conditions without the necessity for specialized testing equipment. The fracture limits are subsequently validated by comparing them against the strain loading paths obtained from a single-point incremental sheet-formed part up to failure. The investigation confirms the versatility and robustness of the novel diagonal-cruciform test specimen for evaluating the formability of C11000 copper sheets and provides valuable insights into its potential application across the broader field of sheet formability characterization.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"11 ","pages":"Article 100171"},"PeriodicalIF":6.0,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive pore defect analysis for electron beam-powder bed fusion of Ti48Al2Cr2Nb 电子束-粉末床熔合Ti48Al2Cr2Nb的孔隙缺陷综合分析

IF 6

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-08-27 DOI: 10.1016/j.aime.2025.100170

Tomisin Ayeni , Paria Karimi , Mohsen K. Keshavarz , Esmaeil Sadeghi , Mahdi Habibnejad-korayem , Mihaela Vlasea

{"title":"Comprehensive pore defect analysis for electron beam-powder bed fusion of Ti48Al2Cr2Nb","authors":"Tomisin Ayeni , Paria Karimi , Mohsen K. Keshavarz , Esmaeil Sadeghi , Mahdi Habibnejad-korayem , Mihaela Vlasea","doi":"10.1016/j.aime.2025.100170","DOIUrl":"10.1016/j.aime.2025.100170","url":null,"abstract":"<div><div>The process-microstructure relationship of gamma-titanium aluminide (Ti-48Al-2Cr-2Nb) parts fabricated via electron beam-powder bed fusion (PBF-EB) process was investigated. A set of 107 records of process parameter combinations were deployed to analyze and classify relative density, lack-of-fusion (LoF) and Gas porosity defects. The bulk density ranges spanned 88 %–99.99 %, with Gas porosity spanning 0.01 %–0.30 %, and lack-of-fusion defects spanning 0.001 %–12 %. Based on literature pertaining to defects addressable via hot isostatic pressing, four classes of density performance were identified: excellent (>99.8 %), good (99.6–99.8 %), poor (98.0–99.6 %), and failed (<98.0 %). For the purpose of this study, a high density outcome (excellent class) is identified to be ideal in terms of expected mechanical properties, specifically strength, fatigue, and ductility. Pore properties were mapped against different energy representations, for example, volumetric energy density (VED) and normalized enthalpy (NE). The results showed the importance of utilizing NE to visualize data and identify zones in the process parameter space where best performance is expected. A region of NE > 15 is expected to have an excellent performance, whereas NE < 10 is expected to result in unacceptable porosity outcomes.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"11 ","pages":"Article 100170"},"PeriodicalIF":6.0,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145007574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of process parameter variations and heat treatment effects on the microstructure and mechanical properties of Inconel 718 fabricated by laser powder directed energy deposition (LP-DED) 工艺参数变化及热处理对激光粉末定向能沉积（LP-DED）制备Inconel 718显微组织和力学性能的影响

IF 6

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-08-16 DOI: 10.1016/j.aime.2025.100169

Dana Godinez , Anannya Doris , Edel Arrieta , Lawrence E. Murr , Colton Katsarelis , Paul R. Gradl , Amit J. Lopes , Francisco Medina

{"title":"Analysis of process parameter variations and heat treatment effects on the microstructure and mechanical properties of Inconel 718 fabricated by laser powder directed energy deposition (LP-DED)","authors":"Dana Godinez , Anannya Doris , Edel Arrieta , Lawrence E. Murr , Colton Katsarelis , Paul R. Gradl , Amit J. Lopes , Francisco Medina","doi":"10.1016/j.aime.2025.100169","DOIUrl":"10.1016/j.aime.2025.100169","url":null,"abstract":"<div><div>This study investigates the influence of laser power and subsequent heat treatments on the microstructure and mechanical properties of Inconel 718 specimens fabricated via Laser Powder Directed Energy Deposition (LP-DED). Five sets of samples, produced using laser power ranging from 350 W to 2620 W, were subjected to a standardized heat treatment process comprising stress relief, hot isostatic pressing (HIP), solution treatment, and two-step aging. The evolution of the microstructure at each heat treatment stage was characterized in correlation with hardness, tensile properties, and fatigue life. Results demonstrate that complete heat treatment homogenizes and refines the microstructure, transitioning from dendritic to an austenitic structure with annealing twins, leading to an increase in hardness. Additionally, despite variations in printing parameters, mechanical properties such as tensile strength and fatigue resistance remained consistent. This study reveals that specimens fabricated at 350 W exhibited the finest microstructure, yielding overall superior mechanical properties. These findings contribute to the optimization of post-processing methodologies for LP-DED-manufactured Inconel 718 components, particularly for aerospace applications.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"11 ","pages":"Article 100169"},"PeriodicalIF":6.0,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictive processing maps for laser-powder bed fusion using transfer learning and melt pool geometry 使用迁移学习和熔池几何的激光粉末床熔合预测加工图

IF 3.9

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-07-20 DOI: 10.1016/j.aime.2025.100168

F. Bahari-Sambran , A. Orozco-Caballero , F. Carreño , C.M. Cepeda-Jiménez

{"title":"Predictive processing maps for laser-powder bed fusion using transfer learning and melt pool geometry","authors":"F. Bahari-Sambran , A. Orozco-Caballero , F. Carreño , C.M. Cepeda-Jiménez","doi":"10.1016/j.aime.2025.100168","DOIUrl":"10.1016/j.aime.2025.100168","url":null,"abstract":"<div><div>This study explores the use of artificial neural networks (ANN) and transfer learning (TL) to develop processing maps that guide defect-free manufacturing of as-built L-PBF aluminum (AlSi10Mg) and stainless steel (SS316L) specimens. The complex non-linear relationships between processing parameters and the thermal properties of the materials, which influence melt pool development, highlight the need for machine learning (ML) tools to achieve high-quality processability in a cost-effective manner. Commercial AlSi10Mg and SS316L powders were processed using L-PBF, resulting in various types of porosity, such as keyhole and lack-of-fusion defects, under different processing conditions. We first characterized the bulk density and melt pool features (width and depth) through optical microscopy and image analysis. Next, we trained ANN base models using data from existing literature to predict the bulk density and melt pool geometries of the as-built samples. Finally, we refined these models with our experimental data after transferring the base models. The results indicate that our proposed models and TL methodology effectively predict processing maps, identify optimal processing parameters for maximum density, and establish the threshold for lack-of-fusion porosity.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"11 ","pages":"Article 100168"},"PeriodicalIF":3.9,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation and evaluation of an Augmented Reality framework for sustainable practices in Industry 5.0 工业5.0中可持续实践的增强现实框架的实施和评估

IF 3.9

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-06-07 DOI: 10.1016/j.aime.2025.100166

Andrea Rega , Francesco Giuseppe Ciampi , Alessandro Zanella , Abdelgafar Ismail , Stanislao Patalano

{"title":"Implementation and evaluation of an Augmented Reality framework for sustainable practices in Industry 5.0","authors":"Andrea Rega , Francesco Giuseppe Ciampi , Alessandro Zanella , Abdelgafar Ismail , Stanislao Patalano","doi":"10.1016/j.aime.2025.100166","DOIUrl":"10.1016/j.aime.2025.100166","url":null,"abstract":"<div><div>Industry 5.0 requires practical methods to translate Augmented Reality (AR) concepts into effective shop floor applications, demonstrating their value to operators. This study introduces a framework for implementing and validating Augmented Reality (AR)-based tools designed to enhance sustainability awareness and assist operators in energy management within industrial settings. The approach combines a reference software architecture for rapid AR deployment with a three-part user-experience assessment, measuring usability (System Usability Scale - SUS), technology acceptance (Technology Acceptance Model - TAM), and cognitive workload (NASA-TLX). To test this framework, an AR-based prototype tool was deployed on enterprise smartphones and evaluated in three scenarios: monitoring service-utility energy consumption, monitoring production equipment, and conducting on- and off-the-job training of the operators. Thirty shop floor professionals completed tasks and provided UX feedback. The results showed good usability (mean SUS 78.4/100), with perceived ease of use and contextual relevance driving technology acceptance. Moreover Nasa TLX analysis indicates mental demand as the predominant factor. The findings confirm that the framework enables effective, human-centered AR deployments in modern industry and provides concrete design guidelines for future implementations.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"11 ","pages":"Article 100166"},"PeriodicalIF":3.9,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the influence of substrate preheating and deposition environment on the structural integrity of high carbon steel LMD parts of increased geometrical complexity 基体预热和沉积环境对几何复杂度增加的高碳钢LMD零件结构完整性影响的研究

IF 3.9

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-06-07 DOI: 10.1016/j.aime.2025.100167

Federico Mazzucato, Anna Valente

{"title":"Study on the influence of substrate preheating and deposition environment on the structural integrity of high carbon steel LMD parts of increased geometrical complexity","authors":"Federico Mazzucato, Anna Valente","doi":"10.1016/j.aime.2025.100167","DOIUrl":"10.1016/j.aime.2025.100167","url":null,"abstract":"<div><div>Laser Metal Deposition is finding growing industrial attractiveness thanks to its unique capability to locally restore worn metal components. In recent years, the industry is focusing on the application of metal Additive Manufacturing for the restoration of moulds and dies to improve process efficiency by reducing machine downtime and spare parts storage expenses. Although mould repair proved to be a cost-effective technological solution, the restoration of geometrically complex high carbon steel alloys through laser-based Additive Manufacturing still presents criticalities due to the low material weldability, high material oxygen reactivity, and high residual stresses generated by thermal cycling. This research work aims to analyse the influence of substrate preheating and the building environment on the structural integrity of steel specimens exhibiting 0.85 % carbon content and implementing geometrical features which are generally critical to restore by laser-based processes since they behave as thermal stress concentration. The performed preliminary observations highlight no delamination and no oxide regardless of process conditions. High-density (99.99 %) and crack-free high carbon steel depositions are achieved by reducing melt pool cooling rates during part manufacturing as a result of the increased environmental temperature surrounding the as-deposited material. Metallographic analysis demonstrates that carbide size decreases as cooling rates increase.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"11 ","pages":"Article 100167"},"PeriodicalIF":3.9,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance of new cutting tool multilayer coatings for machining Ti-6Al-4V titanium alloy under cryogenic cooling conditions 低温冷却条件下加工Ti-6Al-4V钛合金的新型刀具多层涂层性能

IF 3.9

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-05-01 DOI: 10.1016/j.aime.2025.100165

Y. Zhang , J.C. Outeiro , C. Nouveau , B. Marcon , L.A. Denguir

{"title":"Performance of new cutting tool multilayer coatings for machining Ti-6Al-4V titanium alloy under cryogenic cooling conditions","authors":"Y. Zhang , J.C. Outeiro , C. Nouveau , B. Marcon , L.A. Denguir","doi":"10.1016/j.aime.2025.100165","DOIUrl":"10.1016/j.aime.2025.100165","url":null,"abstract":"<div><div>Cr/CrN/AlCrN multilayer coatings were recently developed to meet the high challenges of machining Ti-6Al-4V alloy under cryogenic cooling conditions. The multilayer coatings were optimized by multiple deposition conditions and were characterized by multi-methods. It was proved that they are suitable for tribological applications with this alloy under extreme conditions. This paper addresses the performance of these coatings through tool wear tests and analysis. This performance was compared with that obtained in standard machining conditions used in the aerospace industry, which include flood metalworking fluids and uncoated cemented carbide tools. The results show that the application of a multilayer coating can improve significantly the tool life under cryogenic cooling conditions compared to the flood conditions. 33 % improvement of tool life was found under cryogenic cooling conditions when comparing this coating to the uncoated one. A statistical analysis shows a strong correlation between tool wear and the machining forces. This analysis also permitted to build models for predicting tool wear in function of measured forces.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"10 ","pages":"Article 100165"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward generalizable machine learning prediction of downskin surface roughness in laser powder bed fusion 激光粉末床熔合中下皮表面粗糙度的广义机器学习预测

IF 3.9

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-05-01 DOI: 10.1016/j.aime.2025.100163

Jigar Patel, Mihaela Vlasea, Sagar Patel

{"title":"Toward generalizable machine learning prediction of downskin surface roughness in laser powder bed fusion","authors":"Jigar Patel, Mihaela Vlasea, Sagar Patel","doi":"10.1016/j.aime.2025.100163","DOIUrl":"10.1016/j.aime.2025.100163","url":null,"abstract":"<div><div>Downskin surface quality of laser powder bed fusion (L-PBF) remains a challenge due to the complex, multi-scale physics governing it. While numerical or experimental approaches alone can be significantly resource intensive, data-driven approaches such as machine learning (ML) have the potential to be more practical. However, the generalizability of ML models currently reported in literature is unclear; few ML models can predict reliably outside of their training domain. This study addresses these challenges by (i) demonstrating a downskin surface roughness classification model, trained on the largest reported dataset for downskin roughness (<span><math><mo>∼</mo></math></span>400 downskin specimens spanning five builds and two ferrous alloys) and (ii) conducting a thorough investigation of the model’s generalizability. Additionally, this study highlights critical issues such as data imbalance, generalization to unseen data, and the importance of rigorous evaluation. By implementing robust ML practices, we focused on model performance across different training and evaluation domains. Our findings indicate satisfactory performance when using the more conservative balanced accuracy metric, achieving about 95% inter-domain and 83% intra-domain accuracy. Although there is still room for improvement, these results demonstrate a significant reduction in the risk of overfitting, thereby enhancing the classifier’s generalizability. This work underscores the importance of methodological rigor in machine learning applications, advocating for greater attention to data treatment and evaluation strategies. This approach may ultimately lead to more effective and usable ML models. The data-centric results indicated that (i) physics-informed features can improve performance during domain shifts, and (ii) increased the size and variety of datasets allows even computationally light models to achieve favorable performance.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"10 ","pages":"Article 100163"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scaling laws for ring-shaped beam profiles in laser-based powder bed fusion of metals 激光粉末床金属熔合环形光束轮廓的标度规律

IF 3.9

Advances in Industrial and Manufacturing Engineering Pub Date : 2025-05-01 DOI: 10.1016/j.aime.2025.100164

Jonas Grünewald, Moritz Wittemer, Katrin Wudy

{"title":"Scaling laws for ring-shaped beam profiles in laser-based powder bed fusion of metals","authors":"Jonas Grünewald, Moritz Wittemer, Katrin Wudy","doi":"10.1016/j.aime.2025.100164","DOIUrl":"10.1016/j.aime.2025.100164","url":null,"abstract":"<div><div>The application of alternative beam shapes is a current research trend to stabilize and accelerate the laser-based powder bed fusion of metals process. Although many publications show a reduced process dynamic and an enlargement of the process window for dense components using non-Gaussian beam profiles, a generally valid correlation between the energy input - in terms of the beam shape and the process parameters - and the melting mode is lacking. Consequently, intensive experimental work is required to qualify process parameters for alternative beam profiles. The present work aims to reduce this experimental effort for the parameter qualification of alternative beam profiles by estimating the melting modes based on dimensionless parameters. For this purpose, a simple heat conduction model is applied to a new database of melt track widths and depths generated with various ring-shaped beam profiles with different spot sizes. The approach shows a correlation between the dimensionless enthalpy and the melt track depth and width if the 2<sup>nd</sup> moment method is used to determine the spot size of the laser beam profiles. Finally, introducing a maximum dimensionless enthalpy considering the peak intensity of the beam profile used enables the estimation of the melting mode. Regardless of the beam profile, the transition from conduction mode to keyhole mode occurs between maximum dimensionless enthalpies of 6.25 ± 0.85 and 8.65 ± 0.30.</div></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"10 ","pages":"Article 100164"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0