International Journal of Lightweight Materials and Manufacture最新文献

{"title":"Machine learning in additive manufacturing: A comprehensive insight","authors":"Md Asif Equbal ,&nbsp;Azhar Equbal ,&nbsp;Zahid A. Khan ,&nbsp;Irfan Anjum Badruddin","doi":"10.1016/j.ijlmm.2024.10.002","DOIUrl":"10.1016/j.ijlmm.2024.10.002","url":null,"abstract":"<div><div>Additive manufacturing (AM) is a technological advancement gaining colossal popularity due to its advantages and simplified fabrication. AM facilitates the manufacturing of complex, light, and strong products from digitized designs. With recent advancements, AM can bring digital flexibility and improved efficiency to industrial operations. Despite the various advantages, there is continuous variation in the qualities of AM products, which remains the main challenge in the wide application of AM. The performance of printed parts is directly influenced by processing parameters, and adjusting the parameters in the AM process can be quite challenging. The barrier can be minimized by proper monitoring of the AM process and precise measurement of AM materials and components, which is difficult to achieve through analytical and numerical models. Current research demonstrates machine learning (ML) and its techniques as a novel way to reduce costs. It also helps achieve optimal process design and part quality using the fundamentals of the AM process. ML is a subcategory of artificial intelligence (AI) that enables systems to learn and improve from measured data and past experiences. The present paper is focused on presenting a broad understanding of the current applications of ML in AM and thus provides a solid background for practitioners and researchers to apply ML in AM. Very few earlier reviews were presented before, but their studies mostly focus on artificial neural network technology and other irrelevant papers. In addition, most papers were published in 2021 and 2022 and were not discussed in earlier reviews. This state-of-the-art review is based on the latest database collected from Web of Science (WoS), Publons, Scopus, and Google Scholar using machine learning and additive manufacturing as the keywords. Extensive information collected on the possible applications of ML in AM shows that ML can be effectively applied to improve AM part quality and process reliability.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 2","pages":"Pages 264-284"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510543","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}

{"title":"Experimental performance evaluation of a lightweight additively manufactured hydrodynamic thrust bearing","authors":"Collier Fais ,&nbsp;Isaiah Yasko ,&nbsp;Muhammad Ali ,&nbsp;Rick Walker ,&nbsp;Joe Walker","doi":"10.1016/j.ijlmm.2024.10.003","DOIUrl":"10.1016/j.ijlmm.2024.10.003","url":null,"abstract":"<div><div>In this paper, a lightweight additively manufactured (AM) fixed geometry hydrodynamic thrust bearing fabricated via laser powder bed fusion (LPBF) is experimentally compared to a traditionally manufactured cast aluminum alloy thrust bearing of similar design. The purpose of this study is to evaluate how weight-saving design features in the AM bearing affect active critical hydrodynamic performance parameters to better understand in-service viability. Under various static operating conditions, performance parameters such as hydrodynamic pressure distribution, minimum oil film thickness (MOFT), bearing temperature and increase in oil temperature are measured. Compared to the traditionally manufactured bearing, the AM bearing showed an average increase in minimum oil film thickness of 53 %, an average increase in trailing edge hydrodynamic pressure of 116 %, while exhibiting an average decrease in bearing temperature of 1 %. Experimental results are compared to numerical simulation showing reasonably good agreement.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 2","pages":"Pages 285-299"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529322","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}

{"title":"Microstructural analysis and preliminary wear assessment of wire arc additive manufactured AA 5083 aluminum alloy for lightweight structures","authors":"Prasanna Nagasai Bellamkonda ,&nbsp;Maheshwar Dwivedy ,&nbsp;Kaushik N.Ch","doi":"10.1016/j.ijlmm.2024.09.003","DOIUrl":"10.1016/j.ijlmm.2024.09.003","url":null,"abstract":"<div><div>The proliferation of Wire Arc Additive Manufacturing (WAAM) has significantly enhanced the production capabilities for lightweight and structurally robust components. This study investigates the microstructural characteristics, tensile properties, and preliminary wear performance of AA 5083 aluminum alloy processed via WAAM, focusing on applications for lightweight structures. Using SEM and XRD, microstructural changes during the WAAM process are analyzed, and tensile testing evaluates the mechanical properties, including ultimate tensile strength (UTS) and elongation. The results reveal that the microstructure consists of α-Al and β-(Al₅Mg₈) phases, with the Al₅Mg₈ phase distributed along grain boundaries and within grains. Notably, the grain size in the Y-direction (building direction) is larger than in the X-direction (deposition direction) due to temperature variations during processing. Tensile testing shows that horizontal samples (X-direction) have a UTS of 295 ± 5 MPa and elongation of 20.08 ± 0.8 %, while vertical samples (Y-direction) have a UTS of 267 ± 10 MPa and elongation of 16.43 ± 2.1 %. This results in an anisotropy of 9.4 % in tensile strength, reflecting the differences in mechanical properties between the two directions. The WAAM AA 5083 aluminum part exhibits a maximum wear rate of 5.22 × 10⁻³ mm³/m and a coefficient of friction of 0.52 at a load of 3.5 kg and 450 rpm. Under these conditions, deep grooves, layer separation, and load-induced deformation are observed. The primary wear mechanisms include delamination, adhesion, and abrasion. Hardness levels are consistent in the X-direction and show minimal variance in the Y-direction, with an average hardness of 89.4 ± 5.14 HV0.5. The study demonstrates that WAAM-produced AA 5083 aluminum alloy, with an anisotropy below 10 %, is suitable for real-time lightweight structures, offering effective performance in engineering applications such as aerospace and automotive industries. Future research should focus on further quantifying wear behavior and optimizing processing conditions to enhance material performance for specific applications.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 1","pages":"Pages 1-13"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099457","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}

{"title":"Microstructure and properties of the Al-0.5 wt.% Fe alloy wire, copper-clad by electrochemical deposition","authors":"A.E. Medvedev ,&nbsp;K.E. Kiryanova ,&nbsp;E.B. Medvedev ,&nbsp;M.V. Gorbatkov ,&nbsp;M.M. Motkov","doi":"10.1016/j.ijlmm.2024.08.001","DOIUrl":"10.1016/j.ijlmm.2024.08.001","url":null,"abstract":"<div><div>This study examines the microstructure, mechanical and electrical properties of the copper-clad wires with a core of Al-0.5Fe alloy, obtained by casting into an electromagnetic crystallizer (EMC). The outer copper layer with a thickness of 90 ± 10 μm was applied via electrochemical deposition. Copper cladding of the aluminum wire leads to (without loss of strength and electrical conductivity) a decrease in the ductility to the value less than 2% which is the minimal recommended level of the elongation to failure for the commercially used aluminium alloys. Such drop in ductility also results in the shift of the fracture type to a brittle one. The cause of brittle fracture is the presence of a transition nickel layer required by the technological process of the electrochemical deposition of copper onto aluminium alloy. Annealing at 300 °C for 1 h leads to recovery of the ductility to the original level (4.3% for the cold-drawn Al-0.5Fe alloy wires) with a slight decrease in the ultimate tensile strength to 184 MPa and an increase in the specific electrical conductivity of the bimetallic wire to 60.9%IACS, as well as a change in fracture behavior to ductile. This method is promising for creating the bimetallic aluminum wires with a thin copper layer of controlled thickness and chemical composition to produce conductive elements in which the skin effect could be realized.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 1","pages":"Pages 28-37"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099863","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}

{"title":"Advances in the carbon-ceramic composites oxidation and ablation resistance: A review","authors":"Anna Didenko ,&nbsp;Alexey Astapov","doi":"10.1016/j.ijlmm.2024.07.007","DOIUrl":"10.1016/j.ijlmm.2024.07.007","url":null,"abstract":"<div><div>A review and critical analysis of recent advances in the field of oxidation and ablation resistance of carbon-ceramic composite materials, which are the most promising for high temperature applications in load-bearing structures and heat-protective systems of rocket and aerospace engineering, is carried out. The focus of this study is on the behavior of C_f/UHTC, C_f/C–UHTC, C_f/SiC–UHTC, and C_f/C–SiC–UHTC composites under thermochemical interaction with oxidizing gas flows. The workability of the composites is provided by the formation and evolution of passivating heterogeneous oxide films, which are represented mainly by the refractory MeO₂ phase and the glass phase modified by Me⁴⁺ cations (Me – Zr and/or Hf). The protective oxide layers slow down the mass transfer of reagents (due to the high gas density caused by the presence of phases in a viscous-fluid state) and resist mechanical erosion and denudation (due to the framework structure provided by the partial sintering of refractory phase grains). Systematization and generalization of experimental data for composites of various compositions was carried out, including consideration of fire exposure modes, realized temperatures and obtained characteristics of linear and mass ablation rates. The results of the generalization are presented in the form of tables and schematic images of microstructures of forming oxide films with layer detailing. It is demonstrated that a promising approach for improving developments is the introduction of additional refractory components, which facilitate the formation of solutions with the structure of Me_1-xTi_xO₂, Me_1-yTa_yO_2+0.5y, Me_1-yNb_yO_2+0.5y, and/or complex compounds such as Me₆Ta₂O₁₇, Me₆Nb₂O₁₇ and so on during operation. The formation of oxide films leads to an increase in the fraction of viscous-fluid substances, and, consequently, to a decrease in porosity and an increase in the gas density of protective layers. The processes of melting and transporting a portion of the mass from the surface facilitate the removal of a portion of the heat from the reaction zone, which in turn reduced the overall thermal load on the composites.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 1","pages":"Pages 87-126"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099866","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}

{"title":"Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams","authors":"Iman Faridmehr ,&nbsp;Moncef L. Nehdi ,&nbsp;Mohammad Ali Sahraei ,&nbsp;Kiyanets Aleksandr Valerievich ,&nbsp;Chiara Bedon","doi":"10.1016/j.ijlmm.2024.07.003","DOIUrl":"10.1016/j.ijlmm.2024.07.003","url":null,"abstract":"&lt;div&gt;&lt;div&gt;This study rigorously assesses the shear capacity of fiber-reinforced polymer (FRP) reinforced concrete (RC) beams as a lightweight material alternative, scrutinizing the efficacy of the Eurocode and ACI design codes. Leveraging a dataset of 260 experimental FRP-RC beam cases, two distinct Artificial Neural Network (ANN) models were developed using the Levenberg-Marquardt algorithm. Beams with and without stirrups were considered, with parameters including beam width (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), depth (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), length (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;L&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), concrete compressive strength (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msubsup&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;′&lt;/mo&gt;&lt;/msubsup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), FRP modulus of elasticity (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;mrow&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;mrow&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;) and FRP reinforcement ratios (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;ρ&lt;/mi&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;ρ&lt;/mi&gt;&lt;mrow&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;). Multi-objective optimization was deployed to integrate Genetic Algorithms (GA) and &lt;em&gt;fmincon&lt;/em&gt; to optimize beam parameters for maximizing the shear capacity, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;. Sensitivity analysis allowed to quantify the influence of each parameter, revealing that &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; significantly affect &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;, with sensitivity scores of 0.39 and 0.35, respectively. The optimization process, highlighted by a 3D scatter plot, dynamically illustrated trade-offs among key design parameters (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;ρ&lt;/mi&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;ρ&lt;/mi&gt;&lt;mrow&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), giving insights into the complex interplay in FRP beam design. The hybrid intelligence models reached superior predictive accuracy over traditional codes, achieving &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; values of 0.89. Notably, for beams without stirrups, model predictions closely matched experimental data, with a lower average ratio (1.02) compared to Eurocode (1.65) and ACI (1.58). Principal Component Analysis (PCA) has elucidated the intricate interactions among variables, thereby deepening insights into the structural dynamics of FRP-RC beams. Incorporating artificial intelligence, sophisticated optimization methodologies, and thorough statistical evaluations establishes a holistic approach for the structural examination of FRP-RC beams, providing improved precision and valuable viewpoints for the refinement of future desi","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 1","pages":"Pages 14-27"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141705508","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}

{"title":"Wood flour / ceramic reinforced polylactic acid based 3D–printed functionally grade structural material for integrated engineering applications: A numerical and experimental characteristic investigation","authors":"Arunkumar Thirugnanasamabandam ,&nbsp;B. Prabhu ,&nbsp;Varsha Mageswari ,&nbsp;V. Murugan ,&nbsp;Karthikeyan Ramachandran ,&nbsp;Kumaran Kadirgama","doi":"10.1016/j.ijlmm.2024.08.003","DOIUrl":"10.1016/j.ijlmm.2024.08.003","url":null,"abstract":"<div><div>Recently, efforts have been done to capitalize on the potential of multidisciplinary research in order to produce unique features in polymer technology. To improve its physical and chemical properties for any intended use, the most promising Polylactic acid (PLA) has recently been copolymerized using other polymeric or non-polymeric components. This investigation aims to employ the material extrusion (MEX) process to develop a new functionally grade structural material (FGSM) by alternate layer deposition of wood flour reinforced PLA (WPLA) and ceramic reinforced PLA (CPLA). The mechanical properties of the printed laminates are examined using tensile, compression and three point bend tests. The microscopic investigation is used to assess fracture morphologies. A numerical simulation is also performed using ABAQUS under standardized parametric settings to investigate the mechanical behaviour of the laminates. The experimental and numerical results are consistent, with a deviation about ∼1 %. The tensile, compressive, and flexural strength of the newly developed FGSM are 61.39, 95.4, and 107.8 % higher than those of WPLA printed laminates. Furthermore, the acquired mechanical behaviour results are merely comparable to those of CPLA printed laminates. DSC thermograms demonstrate that FGSM has a better glass transition temperature (66°C) and a cold crystalline temperature (87.63°C), which contributes to its thermal stability. Overall, the newly developed FGSM might be considered a viable alternative, mechanically strong, and less expensive polymer composite material for structural built applications in any engineering and related fields.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 1","pages":"Pages 74-86"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099867","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}

{"title":"Microstructural, electrochemical, and hot corrosion analysis of CoCrFeCuTi high entropy alloy reinforced titanium matrix composites synthesized by microwave sintering","authors":"S. Ragunath ,&nbsp;N. Radhika ,&nbsp;S Aravind Krishna ,&nbsp;Alokesh Pramanik","doi":"10.1016/j.ijlmm.2024.07.004","DOIUrl":"10.1016/j.ijlmm.2024.07.004","url":null,"abstract":"<div><div>CoCrFeCuTi High Entropy Alloy (HEA) is reinforced in Ti6Al6V2Sn alloy through microwave sintering-assisted powder metallurgy and its corrosion behaviour is investigated under different conditions. The ball-milled CoCrFeCuTi HEA powder exhibits 17 μm average particle size of irregular fragments with a single-phase BCC structure and is added as reinforcement in Ti alloy at 3, 6, 9, and 12 wt%. As more reinforcement is added, the α-Ti decreases and β-Ti increases which enhances the interfacial bonding. The pinning effects from reinforcements inhibit grain growth contributing to improved properties including higher relative density with less porosity. The 12 wt% composite showed remarkable microhardness of 734 HV which is increased by 43.8% over Ti alloy. The 12 wt% composite also achieved finer grains (0.345 μm) due to uniform internal heat generation from the process. Corrosion behaviour is assessed through electrochemical corrosion and hot corrosion analysis, with 12 wt% composite demonstrating better corrosion resistance compared to Ti alloy. The induced corrosion products, formation of passivation films, and their mechanism are examined by morphological analysis.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 1","pages":"Pages 141-155"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141702123","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}

{"title":"Natural fibre composite selection for two-stroke marine engine under-piston door using hybrid AHP and TOPSIS methods","authors":"Ru Vern Yiow,&nbsp;Muhd Ridzuan Mansor,&nbsp;Mohd Adrinata Shaharuzaman","doi":"10.1016/j.ijlmm.2024.07.006","DOIUrl":"10.1016/j.ijlmm.2024.07.006","url":null,"abstract":"<div><div>This article presents the selection process of natural fibre composites (NFC) material for the application of a two-stroke marine engine under-piston door (UPD) utilising a combination of the Analytical Hierarchy Process (AHP) with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). NFC consists primarily of a biopolymer enforced with natural fibres. The selection of the best biopolymer and natural fibre was based upon key parameters, which represented the selection criteria. Natural fibre was selected based on four criteria; density, Tensile Strength (TS), Young's modulus (YM) and price. Biopolymer was selected based on an additional two criteria; flammability and melting point. A pairwise comparison was made for each criterion, establishing a matrix for the determination of the weightage using the AHP. This weightage was then applied into the TOPSIS method for the final ranking of natural fibre and biopolymer candidates. With a score of 0.870 in relative closeness to ideal solution, flax was determined to be the best natural fibre. Poly (lactic acid) obtained a score of 0.801 as the best biopolymer. Through this article, a synergy between AHP and TOPSIS methods were demonstrated in the selection and ranking of natural fibre and biopolymer as constituents of NFC for the potential application as alternative material for marine machinery application.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 1","pages":"Pages 66-73"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099864","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}

{"title":"Achieving high precision and productivity in laser machining of Ti6Al4V alloy: A comprehensive study using a n-predictor polynomial regression model and PSO algorithm","authors":"Avinash Chetry ,&nbsp;Sandesh Sanjeev Phalke ,&nbsp;Arup Nandy","doi":"10.1016/j.ijlmm.2024.09.001","DOIUrl":"10.1016/j.ijlmm.2024.09.001","url":null,"abstract":"<div><div>Ti-6Al-4V, the Titanium alloy, has significant utilizations in aerospace, automotive, and marine sectors for its low density and high strength at elevated temperature. But its chemical activity and low thermal conductivity inhibits its machining by conventional method. Nd: YAG laser beam machining (LBM) finds extensive use in rapid and precise cutting of Ti6Al4V. This study has examined the influences of various LBM machining variables, including laser power, gas pressure and stand-off distance, in cutting 5 mm thick Ti-6Al-4V plate. In assessing the effectiveness and performance of the LBM process, three response functions—surface roughness, angle of kerf, and material removal rate—have been designated. From the experimental data, different regression models have been established to estimate these response functions in terms of the machining parameters. Based on R² score and RMSE, multi-dimensional polynomial regression is decided as the most suitable regression model. Subsequently, the Particle Swarm Optimization technique has been applied to identify the optimal machining parameters for reducing angle of kerf and surface roughness, while increasing material removal rate. Three individual single-objective functions underwent optimization, along with a multi-objective function. Furthermore, experimental verification was conducted for the optimal input parameters in the single-objective as well as the multi-objective optimization scenarios, resulting in an accuracy of 97% and 98%, respectively. Such a close agreement emphasizes the accuracy of the developed regression model as well as it signifies the reliability and efficacy of the optimization technique.</div></div>","PeriodicalId":52306,"journal":{"name":"International Journal of Lightweight Materials and Manufacture","volume":"8 1","pages":"Pages 127-140"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099945","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}