Smart Materials in Manufacturing最新文献_第5页

Parametric optimisation for 3D printing β-tricalcium phosphate tissue engineering scaffolds using direct ink writing 利用直接墨水书写技术对 3D 打印β-磷酸三钙组织工程支架进行参数优化

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2024-11-11 DOI: 10.1016/j.smmf.2024.100070

D.L. Belgin Paul , Ayyappan Susila Praveen , Arun Arjunan

{"title":"Parametric optimisation for 3D printing β-tricalcium phosphate tissue engineering scaffolds using direct ink writing","authors":"D.L. Belgin Paul , Ayyappan Susila Praveen , Arun Arjunan","doi":"10.1016/j.smmf.2024.100070","DOIUrl":"10.1016/j.smmf.2024.100070","url":null,"abstract":"<div><div>The quest for optimal bone tissue engineering materials has led to extensive research on tricalcium phosphate (TCP) ceramics, specifically the β-TCP phase, due to its superior biocompatibility and bioresorbability. Ensuring the structural fidelity and accuracy in creating porous architecture is very crucial for β-TCP scaffolds. In this regard, this study explores the critical role of 3D printing parameters such as pressure, nozzle diameter, print speed, and solid loading in determining the dimensional accuracy of β-tricalcium phosphate (β-TCP) scaffolds fabricated through direct ink writing (DIW). Experiments were conducted on a custom-built DIW system based on a four-factor, three-level L<sub>9</sub> Taguchi design. The influence of these parameters on dimensional accuracy was evaluated using Analysis of Variance (ANOVA). Optimal process conditions to print β-TCP were revealed as 3 bar pressure, 0.6 mm nozzle diameter, 5 mm/s print speed, and 55 vol% solid loading, yielding minimal dimensional error. ANOVA results highlighted nozzle diameter and pressure as significant factors, followed by solid loading and print speed. Validation experiments under these optimal conditions achieved a dimensional error of just 1.52 %. Additionally, the scaffold printed under optimal conditions demonstrated a compressive strength of 2.64 MPa.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100070"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wire-arc directed energy depositing high-ductility Cu-10Fe immiscible alloy with a hierarchical microstructure 电弧定向能沉积高塑性Cu-10Fe非混相合金

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-09-19 DOI: 10.1016/j.smmf.2025.100095

Xinglong Di , Siyi Peng , Yueling Guo , Shuijun Ye , Longxi Luo , Bo Yin , Changmeng Liu

{"title":"Wire-arc directed energy depositing high-ductility Cu-10Fe immiscible alloy with a hierarchical microstructure","authors":"Xinglong Di , Siyi Peng , Yueling Guo , Shuijun Ye , Longxi Luo , Bo Yin , Changmeng Liu","doi":"10.1016/j.smmf.2025.100095","DOIUrl":"10.1016/j.smmf.2025.100095","url":null,"abstract":"<div><div>In this work, a thin-wall Cu-10Fe (10 wt%) immiscible alloy component is fabricated by wire-arc directed energy deposition (WA-DED), leveraging the high energy absorption of the electric arc for copper alloys and its high deposition rate. Results show that Liquid-Liquid Phase Separation (LLPS) occurs upon solidification during WA-DED, and a hierarchical microstructure is formed, including micro-sized and nano-sized Fe particles, nano-sized Cu particles, as well as Fe dendrites embedded in the Cu matrix. A slight mechanical property anisotropy is found via tensile testing, and the horizontal specimen has superior strength and ductility. The decent ductility, 37.1 ± 0.9 % in elongation, is achieved with a ductile dimple fracture mode. It is associated with the relatively fine grains, the hierarchical microstructure and the formation of twins. Our pioneering investigation on the microstructure and mechanical property of Cu-10Fe alloy via WA-DED provides an applicable pathway for the efficient fabrication of high-performance Cu-based immiscible alloys.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099052","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

Creation of heavily La-doped SrTiO3 thermoelectric films achieved by freeze-dry pulsated orifice ejection method and laser powder bed fusion 冻干脉冲孔喷射法和激光粉末床熔合制备重la掺杂SrTiO3热电薄膜

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-04-03 DOI: 10.1016/j.smmf.2025.100077

Myeonggyun Kang , Zhenxing Zhou , Weiwei Zhou, Naoyuki Nomura

{"title":"Creation of heavily La-doped SrTiO3 thermoelectric films achieved by freeze-dry pulsated orifice ejection method and laser powder bed fusion","authors":"Myeonggyun Kang , Zhenxing Zhou , Weiwei Zhou, Naoyuki Nomura","doi":"10.1016/j.smmf.2025.100077","DOIUrl":"10.1016/j.smmf.2025.100077","url":null,"abstract":"<div><div>Achieving both fine grain sizes and high doping levels simultaneously holds great promise for improving the dimensionless figure of merit (zT) of oxide thermoelectric materials; however, this remains a global challenge. This study presents a pioneering example of fabricating heavily La-doped SrTiO<sub>3</sub> films by leveraging the unique characteristics of laser powder bed fusion (L-PBF). A novel freeze-dry pulsated orifice ejection method (FD-POEM) was used to prepare spherical SrTiO<sub>3</sub>–La<sub>2</sub>O<sub>3</sub> composite powders with a narrow size distribution, homogeneous element distribution, and high laser absorptivity. Owing to the high processing temperature and rapid solidification of the L-PBF process, the La<sub>2</sub>O<sub>3</sub> nanoparticles decomposed and dissolved in the lattice of the cubic perovskite SrTiO<sub>3</sub>. Consequently, the thermoelectric SrTiO<sub>3</sub> film achieved a high La doping concentration of 36.7 mol% and a nanoscale grain size of approximately 700 nm, surpassing conventional methods. Moreover, the La-doped SrTiO<sub>3</sub> film, approximately 10 μm thick, was closely deposited onto a Mo substrate and exhibited excellent thermal stability at 1073 K, making it well-suited for high-temperature thermoelectric applications.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100077"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In-situ thermally activated piezoresistive shape memory deployable structures fabricated via multi-material 4D printing 通过多材料4D打印制造的原位热激活压阻形状记忆可展开结构

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-10-15 DOI: 10.1016/j.smmf.2025.100103

Aoun Hussnain , Israr Ud Din , Yasir Mujahid , Kamran A. Khan

{"title":"In-situ thermally activated piezoresistive shape memory deployable structures fabricated via multi-material 4D printing","authors":"Aoun Hussnain , Israr Ud Din , Yasir Mujahid , Kamran A. Khan","doi":"10.1016/j.smmf.2025.100103","DOIUrl":"10.1016/j.smmf.2025.100103","url":null,"abstract":"<div><div>Deployable structures that can change shape are critical for applications in the aerospace, biomedical and architectural industries. Existing systems are limited in scalability and practical application because they rely on external sensors or complex assembly. This study presents multifunctional, intelligent shape-recovering deployable structures using multi-material 4D printing, which incorporates shape memory polymers (SMPs) with a glass transition temperature of 55 °C, stiff ABS materials, and conductive EEL filaments enabling in-situ thermal activation and piezoresistive sensing. The process involved creating a multi-material strip and an auxetic structure using fused filament additive manufacturing, embedding nichrome wires for thermal actuation. Material properties, shape memory capacities, and piezoresistive behavior were investigated using mechanical, thermomechanical, and electro-thermomechanical tests. Key outcomes indicate that the strip attained a 41.2 % shape recovery under cantilever beam loading, which further improved to 90 % in hot water in the absence of nichrome wires. Additionally, the auxetic structure exhibited up to 72.27 % shape recovery during three compression cycles, facilitated by EEL for real-time strain monitoring. A fractional change in resistance of up to 57 % and 76.3 % were recorded during the bending and shape fixity phases of strip and auxetic structure, respectively. Future endeavors will concentrate on refining material compositions and structural designs to improve recovery ratios and scalability for actual applications.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145319633","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

Gcs-Unet: A lightweight attention network for coaxial melt pool monitoring in laser powder bed fusion Gcs-Unet：用于激光粉末床熔化过程中同轴熔池监测的轻量级关注网络

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-09-12 DOI: 10.1016/j.smmf.2025.100094

Wei Wei , Yi Li , Haixin Wu , Xiuming Li , Yuhui Zhang , Hang Ren , Yu Long , Yunfei Huang

{"title":"Gcs-Unet: A lightweight attention network for coaxial melt pool monitoring in laser powder bed fusion","authors":"Wei Wei , Yi Li , Haixin Wu , Xiuming Li , Yuhui Zhang , Hang Ren , Yu Long , Yunfei Huang","doi":"10.1016/j.smmf.2025.100094","DOIUrl":"10.1016/j.smmf.2025.100094","url":null,"abstract":"<div><div>In laser powder bed fusion (L-PBF), coaxial melt pool monitoring methods based on spontaneous radiation often miss low-radiation regions such as the trailing edge, resulting in incomplete information. Additionally, traditional image processing techniques like threshold segmentation lack robustness under complex backgrounds caused by auxiliary lighting, limiting their effectiveness for real-time applications. To address these challenges, a new coaxial melt pool monitoring system was developed, providing clearer and more comprehensive images that capture both geometry and texture. Building on this foundation, an attention-enhanced deep learning network, Gcs-Unet, was proposed to enable robust semantic segmentation under complex conditions. The proposed model achieved an inference time of 6.75 ms while maintaining high performance (99.5 % accuracy, 87.6 % Dice, 86.2 % mIoU) and reducing parameters by 42.91 %, meeting real-time deployment requirements. Furthermore, it was found that scanning speed significantly influences melt pool behavior, with a 33 % speed increase resulting in a 37.45 % rise in the variation of the high-temperature zone's center. These results provide strong support for process optimization and melt pool analysis in L-PBF.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047865","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

High-temperature oxidation behavior of SLM-processed and forged GH5188 Co-based superalloy slm加工锻造GH5188钴基高温合金的高温氧化行为

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-09-13 DOI: 10.1016/j.smmf.2025.100093

Chao Yang , Xue Chen , Yusheng Tian , Yifeng Tang , Shiping Cai , Wei Wei , Qianli Huang , Hang Guo , Aihui Huang , Paul K. Chu

{"title":"High-temperature oxidation behavior of SLM-processed and forged GH5188 Co-based superalloy","authors":"Chao Yang , Xue Chen , Yusheng Tian , Yifeng Tang , Shiping Cai , Wei Wei , Qianli Huang , Hang Guo , Aihui Huang , Paul K. Chu","doi":"10.1016/j.smmf.2025.100093","DOIUrl":"10.1016/j.smmf.2025.100093","url":null,"abstract":"<div><div>The high-temperature oxidation behavior of GH5188 cobalt-based superalloy, fabricated via selective laser melting (SLM) and forging, is investigated to elucidate the impact of additive manufacturing on oxidation resistance. SLM-processed samples exhibit a hierarchical microstructure with nanoscale carbides (∼80 nm) pinned at cellular boundaries (100 nm to micrometer scale), contrasting with the equiaxed grains (∼10 μm) and coarse W-rich M<sub>6</sub>C carbides (∼5 μm) in forged samples. After isothermal oxidation at 1000 °C and 1100 °C for 200 h, SLM samples show significantly lower mass gains compared to forged samples (69 % and 75 % of forged values), attributed to enhanced oxide scale adhesion and stability. Cyclic oxidation at 1000 °C for 50 cycles reveals stable mass gains in SLM samples (37 % of forged value) with minimal cracking, while forged samples suffer severe spallation due to volatile WO<sub>3</sub> formation from coarse carbides. This study demonstrates that SLM's refined microstructure suppresses deleterious carbide decomposition, offering a novel strategy to enhance the oxidation resistance of Co-based superalloys for aerospace and high-temperature applications.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100093"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048288","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

The effects of TiN nanoparticle incorporation on the microstructure and wear resistance of additively manufactured CoCrMoW alloys TiN纳米颗粒掺入对CoCrMoW合金组织和耐磨性的影响

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-03-22 DOI: 10.1016/j.smmf.2025.100078

Canjuan Xiao , Wenting Jiang , Yi Huang , Song Ni

{"title":"The effects of TiN nanoparticle incorporation on the microstructure and wear resistance of additively manufactured CoCrMoW alloys","authors":"Canjuan Xiao , Wenting Jiang , Yi Huang , Song Ni","doi":"10.1016/j.smmf.2025.100078","DOIUrl":"10.1016/j.smmf.2025.100078","url":null,"abstract":"<div><div>To enhance the wear resistance of CoCrMoW alloys, this study used laser powder bed fusion (LPBF) to fabricate TiN nanoparticle-incorporated composites. By conducting microstructure characterization and wear resistance testing, the intricate relationship between microstructure and wear behavior was elucidated. The LPBF-fabricated samples presented dual-phase structures comprising face-centered cubic and hexagonal close-packed phases along with numerous stacking faults. The TiN particles were uniformly distributed in the sample with a 1 wt% addition. However, as the additive content increased, the TiN particles grew, and the interparticle spacing correspondingly decreased. Notably, robust interfacial bonding existed between the TiN nanoparticles and the matrix material. The interface between the TiN particles and the matrix displayed a semicoherent nature characterized by a specific orientation relationship: [001] <sub>TiN</sub>//[011]<sub>γ</sub> and (020)<sub>TiN</sub>//(111)<sub>γ</sub>. Compared to the nonincorporated sample, the incorporated samples demonstrated reduced friction coefficients and wear rates. A comparative analysis of the nonincorporated and incorporated samples’ wear behaviors revealed that oxidation wear predominantly characterized the nonincorporated sample, which displayed significant plastic deformation along with fragmented debris and loose oxides. In contrast, the incorporated samples presented relatively smooth wear surfaces where abrasive wear emerged as the primary mechanism. These findings underscore enhancements in tribological properties due to TiN incorporation and offer valuable insights into its fundamental behavior during wear.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100078"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Solving the strength-ductility trade-off using complex concentrated alloy design strategy: An overview 用复杂的集中合金设计策略解决强度-延性权衡：综述

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-08-23 DOI: 10.1016/j.smmf.2025.100091

Desmond Klenam , Olufemi Bamisaye , Tabiri Asumadu , Michael Bodunrin , Winston Soboyejo

{"title":"Solving the strength-ductility trade-off using complex concentrated alloy design strategy: An overview","authors":"Desmond Klenam , Olufemi Bamisaye , Tabiri Asumadu , Michael Bodunrin , Winston Soboyejo","doi":"10.1016/j.smmf.2025.100091","DOIUrl":"10.1016/j.smmf.2025.100091","url":null,"abstract":"<div><div>This review provides a comprehensive assessment of recent advances in overcoming strength–ductility trade-off in structural alloys through the design of complex concentrated alloys (CCAs) and high entropy alloys (HEAs). It integrates a bibliometric analysis (2014–2024) with a mechanistic evaluation of emerging strategies, emphasizing transition metal-based systems. Findings from over 2,200 publications highlight growing global collaboration, dominant research clusters, and underexplored domains such as TRIP/TWIP effects and interstitial strengthening. Mechanistically, the review consolidates insights into solid solution, grain boundary, dislocation, precipitation, and interstitial strengthening; together with advanced mechanisms including stacking fault engineering, phase metastability, and heterostructural design. Emphasis is placed on the synergistic operation of these mechanisms especially TWIP/TRIP and back-stress hardening, to achieve superior strength–ductility combinations. Distinctions between HEAs and CCAs are clarified, and quantitative contributions of each strengthening mechanism are mapped. The role of hydrogen effects, additive manufacturing, and multi-scale processing in tailoring properties are discussed. By synthesizing bibliometric trends and mechanistic principles, this review establishes a roadmap for future alloy design strategies, offering a robust framework to guide the development of next-generation structural materials with multifunctional performance attributes.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100091"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890898","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

Radiation and EMI shielding of 3D printed lightweight components for neuroimaging devices 用于神经成像设备的3D打印轻量级组件的辐射和EMI屏蔽

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-04-25 DOI: 10.1016/j.smmf.2025.100085

Azadeh Mirabedini , Chris McCrowe , David Welch , Pradip Deb , Toh Yen Pang , Francesca Langenberg , Shieak Tzheng , Sergei Obruchkov , Stephen Davis , Geoffrey Donnan , Kate Fox

{"title":"Radiation and EMI shielding of 3D printed lightweight components for neuroimaging devices","authors":"Azadeh Mirabedini , Chris McCrowe , David Welch , Pradip Deb , Toh Yen Pang , Francesca Langenberg , Shieak Tzheng , Sergei Obruchkov , Stephen Davis , Geoffrey Donnan , Kate Fox","doi":"10.1016/j.smmf.2025.100085","DOIUrl":"10.1016/j.smmf.2025.100085","url":null,"abstract":"<div><div>The growing demand for miniaturized diagnostic neuroimaging devices, alongside the widespread use of electronics, presents an opportunity to develop lightweight, durable and non-toxic alternative shielding components. This study investigates lightweight shielding solutions for ultraportable neuroimaging toolkit devices for stroke detection, evaluating electromagnetic interference (EMI) and X-ray shielding properties of two commercially available conductive filaments: Koltron G1 and Fili Conductivo. The EMI shielding effectiveness (SE) of 3D-printed specimens with varying thicknesses was assessed across a broad frequency range from 10 MHz to 12 GHz, covering Ultra High Frequency (UHF), S-band, C-band, and X-band frequencies. Both materials demonstrated increased SE with thickness, with Koltron achieving a 102 % increase from 1 mm to 4 mm in the 10 MHz to 8.5 GHz range and up to ∼28.5 dB attenuation at lower frequencies. In the X-band, both performed similarly, averaging over 29 dB SE, with less variability in Koltron. X-ray shielding tests confirmed their effectiveness, with Koltron showing ∼65.5 % of lead's shielding performance when normalized for density. These results, combined with the lower weight and ease of processing of conductive thermoplastics compared to traditional metallic shielding materials, highlight their potential as flexible, lightweight, and non-toxic alternatives for enhancing the portability and efficiency of neuroimaging technologies, particularly in environments where conventional shielding methods are impractical, aiming to improve patient outcomes.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868790","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

Machine learning prediction of surface roughness in sustainable machining of AISI H11 tool steel aisih11工具钢可持续加工中表面粗糙度的机器学习预测

Smart Materials in Manufacturing Pub Date : 2025-01-01 Epub Date: 2025-02-20 DOI: 10.1016/j.smmf.2025.100075

Balasuadhakar A. , Thirumalai Kumaran S. , Uthayakumar M.

{"title":"Machine learning prediction of surface roughness in sustainable machining of AISI H11 tool steel","authors":"Balasuadhakar A. , Thirumalai Kumaran S. , Uthayakumar M.","doi":"10.1016/j.smmf.2025.100075","DOIUrl":"10.1016/j.smmf.2025.100075","url":null,"abstract":"<div><div>Surface roughness prediction ensures high product quality, boosts manufacturing efficiency, and aids in effective tool life management. In this study, surface roughness optimization and prediction in the end milling of AISI H11 die steel were examined under three cooling conditions: dry milling, Minimum Quantity Lubrication (MQL), and Nano Fluid Minimum Quantity Lubrication (NMQL). The experiments were designed using a Taguchi L27 orthogonal array, with cutting speed, feed, and cooling environments as the variables. Surface roughness, the performance output parameter, was analyzed through Taguchi Signal-to-Noise (S/N) analysis. The dataset's diversity and robustness were further enhanced using the Gaussian Data Augmentation (GDA) technique, ensuring improved predictive accuracy of the Machine Learning (ML) models. Advanced machine ML models, including Decision Tree(DT), XGBoost (XGB), Support Vector Regression (SVR), CATBoost, AdaBoost Regression (ABR), and Random Forest Regression (RFR), were developed, with hyperparameters optimized using Grid Search Cross Validation. The ideal cutting parameters were identified as a cutting speed of 40 m/min, a feed rate of 0.01 mm/rev, and utilization of the NMQL cooling environment. The ML models, including DT, ABR, RFR, and CATBoost, demonstrate exceptional performance by achieving accuracy rates above 90 % and determinant coefficient (R<sup>2</sup>) greater than 0.9. Remarkably, the CATBoost model exhibited heightened precision, boasting 90.8 % accuracy, a R<sup>2</sup> of 0.94, a mean absolute error (MAE) of 0.05, a mean squared error (MSE) of 0.005, a root mean squared error (RMSE) of 0.07, and a mean absolute percentage error (MAPE) of 9.17.</div></div>","PeriodicalId":101164,"journal":{"name":"Smart Materials in Manufacturing","volume":"3 ","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0