Material Design & Processing Communications最新文献

{"title":"Machining Error Prediction and Parameter Optimization in Graphene-Mixed Dielectrics Using Hybrid ANN–GA","authors":"Vivek John,&nbsp;Vinny John,&nbsp;Amit Kumar Maurya,&nbsp;Harvinder Singh,&nbsp;Purnendu Shekar Pandey,&nbsp;Nitin Kumar,&nbsp;Ajay Kumar,&nbsp;Jeewan Singh,&nbsp;Yohannes Mengist","doi":"10.1155/mdp2/3267243","DOIUrl":"https://doi.org/10.1155/mdp2/3267243","url":null,"abstract":"<p>The demand for high-precision components in the aerospace, biomedical, and automotive industries has increased the use of nonconventional machining processes. Electric discharge machining (EDM) is widely used to machine hard materials, such as stainless steel 316, because it can achieve high dimensional accuracy. However, dimensional deviations and overcuts persist. To address these issues, a graphene-mixed dielectric fluid was employed during machining. Experimental investigations were conducted using the Taguchi L27 orthogonal array design. The results demonstrated that the copper electrode produced superior dimensional accuracy compared with the brass electrode. ANN-assisted MOGA optimization identified the optimal machining parameters as a peak current of 17.00 A, a pulse-on time of 110.76 <i>μ</i>s, and a pulse-off time of 88.02 <i>μ</i>s. These conditions are predicted to yield radial overcuts of 57.25 <i>μ</i>m and 74.63 <i>μ</i>m for the copper and brass electrodes, respectively. Confirmation experiments showed excellent agreement with the ANN predictions.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/3267243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048412","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":"Correction to “Experimental testing of two short-fiber reinforced composites: PPA-GF33 and PPS-GF40”","authors":"","doi":"10.1155/mdp2/9817039","DOIUrl":"https://doi.org/10.1155/mdp2/9817039","url":null,"abstract":"<p>D. Micota, A. Isaincu, and L. Marsavina, “Experimental testing of two short-fiber reinforced composites,” <i>Materials Design and Process Communication</i>, 2021; 3: e264, https://doi.org/10.1002/mdp2.264.</p><p>In the published article,</p><p>We apologize for this error.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/9817039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047991","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":"Fracture Behavior and Parameters Under Biaxial Loading at Different Cruciform Specimen Thicknesses","authors":"Ahmed Al-Mukhtar,&nbsp;Carsten Könke","doi":"10.1155/mdp2/5389730","DOIUrl":"https://doi.org/10.1155/mdp2/5389730","url":null,"abstract":"<p>The influence of specimen thickness under biaxial loading represents an important aspect in fracture and fatigue analysis. Since earlier studies have not incorporated thickness effects within two-dimensional numerical simulations, the present work employs the finite element (FE) method to investigate the role of thickness in a cruciform aluminum specimen subjected to biaxial loading. The notch effect is modeled by introducing transverse cracks oriented at 0° and 90° with respect to the <i>x</i>- and <i>y</i>-axes at the center of the specimen. Various specimen thicknesses and biaxial stress ratios were examined to evaluate their impact on crack behavior. FE simulations were performed using the Fracture Analysis Code (FRANC2D) to compute the stress intensity factor (SIF) and to simulate crack propagation under different combinations of biaxial stress ratios and thicknesses. The results indicate that, for identical boundary conditions and loading configurations, the crack path remains unchanged for all thicknesses and is governed solely by the biaxial ratio (<i>λ</i>). However, the magnitude of the SIF, the crack-driving force, and the predicted fatigue life vary with thickness. The proposed model was first validated against thickness values reported in previous studies and subsequently extended to additional thickness configurations. The approach proved effective in evaluating the influence of the biaxial stress ratio (<i>λ</i>) on crack trajectory and fatigue performance. Furthermore, geometric correction functions were derived as a function of the crack length-to-width ratio (<i>a</i>/<i>w</i>). It was observed that increasing specimen thickness reduces the SIF at the crack tip due to lower localized stress, resulting in an extended fatigue life.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/5389730","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148943547","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":"The Effect of Severe Plastic Deformation on Mechanical Properties for A6061 Aluminum Alloy Fabricated by Multitypes of Bending Forming","authors":"Raed R. Shwaish,&nbsp;Mazin Al-Wswasi,&nbsp;Hind H. Abdulridha,&nbsp;Aseel Hamad Abed,&nbsp;Waleed Ahmed","doi":"10.1155/mdp2/6885511","DOIUrl":"https://doi.org/10.1155/mdp2/6885511","url":null,"abstract":"<p>Severe plastic deformation (SPD) is a well-known processing technique used to impose large plastic strains and modify the mechanical properties of metal-based materials. In this work, SPD was introduced into A6061 aluminum alloy sheets via two forming processes: differential diameter rolling (DDR) and V-bending. This hybrid DDR V-bending approach addresses the limited understanding of how shear-dominated prestraining produced by asymmetric rolling affects the subsequent bending response, spring-back behavior, and energy absorption of A6061 aluminum alloy sheets, which are not fully captured by conventional symmetric rolling. The DDR process was performed at a rolling speed ratio of 1.15 using four sample reorientation conditions between successive passes, denoted as ND-, RD-, TD-, and UD-based routes. The thickness reduction ratios were 20%, 30%, and 40%, performed through three passes of the DDR process. Following the DDR process, the sheets were bent via a 90° V-die to assess the following mechanical properties: hardness, maximum bending load, bending deflection, bending energy absorption, and spring-back. Results of the experiments indicated that the thickness reduction ratio had a positive influence on strain hardening, leading to an increase in both hardness and spring-back. However, the maximum bending load decreased with an increase in thickness reduction ratio, which occurs due to the reduction in the sheet thickness following the DDR process. Furthermore, the spring-back angle and spring-back factors were found to be higher for samples processed via the ND and RD rolling routes. The sheets rolled along the ND route produced the highest improvement in mechanical properties. Bending energy absorption increased with an increase in the thickness reduction ratio. The results of this study demonstrate that the DDR-V-bending process is effective in the modification of mechanical properties of A6061 aluminum alloy sheets. However, the reduction in bending load indicates a potential negative impact of the DDR process on the formability of the sheets.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/6885511","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148752560","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":"Influence of Heat Treatment on Phase Stability and Strength–Ductility Balance in ZrTiWMoVTaNb Septenary Refractory High-Entropy Alloy","authors":"Mohammed Khazal Hussain,&nbsp;Moneer H. Tolephih,&nbsp;Nasri S. M. Namer,&nbsp;Masoud Atapour","doi":"10.1155/mdp2/5312823","DOIUrl":"https://doi.org/10.1155/mdp2/5312823","url":null,"abstract":"<p>Refractory high-entropy alloys (RHEAs) are promising candidates for structural applications in environments requiring excellent mechanical properties at elevated temperatures. In this study, the WTiZrTaVMoNb RHEA was fabricated via mechanical alloying (MA) for 32 h, then consolidated by spark plasma sintering (SPS) and subsequently annealed at 1000°C for 6 h, and the influence process conditions on the phases, microstructure, and mechanical properties was explored. The as-sintered alloy exhibited a dominant BCC matrix accompanied by minor secondary intermetallic phases. After annealing, partial dissolution of these secondary phases into the BCC matrix occurred, leading to improved elemental homogeneity and enhanced phase stability. The as-sintered alloy exhibited the highest hardness (822 Hv) and plasticity (19.6%), whereas annealing reduced hardness by approximately 18%, improved plasticity by about 33%, and increased the ultimate compressive strength to 1722 MPa. Zirconium played a key role in enhancing ductility by refining grain boundaries and stabilizing the microstructure, whereas its synergistic interaction with titanium facilitated dislocation motion and improved the alloy′s plastic deformation capacity. These results demonstrate that controlling heat treatment conditions is an effective approach to tailoring the phase constitution and microstructure of RHEAs, achieving an optimal balance between strength, ductility, and thermal stability, and enhancing their potential for high-temperature structural applications such as gas turbine blades, thermal protection systems, and nuclear reactor walls.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/5312823","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616687","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":"Effect of Cyclic Heat Treatment on the Mechanical Properties and Microstructure of Al 6061 Alloy","authors":"Saurabh Dewangan,&nbsp;Khurana Gurvansh Singh,&nbsp;Shardul Ganesh Tawde,&nbsp;Adhir Chandra Paul","doi":"10.1155/mdp2/2882404","DOIUrl":"https://doi.org/10.1155/mdp2/2882404","url":null,"abstract":"<p>This study investigates the influence of different cyclic heat-treatment schedules on the mechanical behavior and microstructural evolution of Al 6061 alloy. Five identically sourced plates were subjected to controlled variations in quenching rate, aging temperature, and cooling conditions to establish a consistent microstructure–property relationship. The heat-treatment routes included water quenching, furnace cooling, single-stage aging, and multistage aging sequences, allowing a systematic comparison of precipitation responses. Tensile tests, hardness measurements, and optical microscopy were performed to assess the effect of thermal history on yield strength, ductility, and precipitate morphology. The results reveal that water quenching followed by aging at 200°C produces the finest Mg₂Si precipitate dispersion, yielding the highest hardness and improved yield strength, though with reduced ductility. In contrast, multistage aging combined with furnace cooling leads to precipitate coarsening, resulting in lower strength but enhanced ductility. Among all conditions, the furnace-cooled, 200°C-aged sample exhibited the most favorable strength–ductility balance, demonstrating the ability of controlled slow cooling and single-step aging to restore fine precipitation and improve mechanical stability. Fractography analysis of fractured specimens further revealed the correlation between precipitate distribution and fracture behavior, confirming the transition from strength-dominated to ductility-dominated failure modes under different heat-treatment conditions. Overall, the study highlights the critical role of cooling rate and aging sequence in tailoring mechanical performance and offers an alternative, industrially viable route for optimizing Al 6061 alloy properties.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/2882404","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148386248","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":"Influence of Fiber Content and Fiber Length on the Thermal and Electrical Properties of Kenaf Short Fiber–Reinforced Bulk Molding Compounds (BMCs) for Compression Molding","authors":"Subramaniasarma Sreenivasan,&nbsp;Mohd Khairol Anuar Mohd Ariffin,&nbsp;B. T. Hang Tuah Baharudin,&nbsp;Shamsuddin Sulaiman","doi":"10.1155/mdp2/3922719","DOIUrl":"https://doi.org/10.1155/mdp2/3922719","url":null,"abstract":"<p>The recent trends have seen natural fiber–reinforced composites (NFRCs) garnering a large following due to their low density, commercial viability, low health risk, high tensile strength and modulus, and renewability. This paper discusses the thermal properties such as the thermal conductivity, heat deflection temperature, thermal stability, and dielectric strength of kenaf-reinforced bulk molding compound (BMC). The Lewis–Nielsen method was used to calculate theoretical values and compare with the experimental values. It has been found that the average thermal conductivity decreases as the fiber loading increases for all fiber lengths. The highest was observed in the BMC reinforced with 9-mm kenaf short fiber, with a value of 0.42. It has also been found that the heat deflection temperature decreases proportionally to the loading of the fiber due to varied fiber stress loading in the material. It was also found that fiber length did not play a significant part in the heat deflection temperature. From the DSC and TGA results, it can be said that thermal stability is preserved for all materials and peaks at 12 mm 20%. However, dielectric strength was found to be directly proportional to fiber loading as well as fiber length. The highest was at 15 mm 30% loading. It can be concluded that both fiber loading and fiber length play a significant part in the thermal and electrical properties of the composites.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/3922719","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324207","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":"Mechanical Analysis and Simulation of 3D-Printed Femur Segments With Biomimetic Porosity","authors":"Naser Kordani,&nbsp;Mohammad Khodabandeh,&nbsp;Mobina Khalil Khalili,&nbsp;Jafar Nejadali,&nbsp;Mehdi Ghasempour","doi":"10.1155/mdp2/9349864","DOIUrl":"https://doi.org/10.1155/mdp2/9349864","url":null,"abstract":"<p>Three-dimensional (3D) printing has transformed medical engineering by enabling customized bone prostheses. This study designs and evaluates a 3D-printed femur segment with manually crafted porosity mimicking natural bone tissue. Mechanical performance is assessed through compression testing, dynamic simulation, fatigue analysis, and crack propagation. Compression tests yielded average fracture force of 9.456 kN, stress of 11.76 MPa, strain of 8.68 mm, and energy of 42.6 kJ. The biomimetic porosity showed superior resistance compared to alternatives. Fatigue simulations indicated infinite life under in vivo loads. Crack simulations at failure sites showed stresses of 12.82 and 11.89 MPa. Findings highlight biomimetic designs′ potential in bone tissue engineering.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/9349864","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148282525","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":"Chemical Etching for Boosting Adhesive Bond Strength of CFRP–Al Joints: A Lap Shear Tensile Test Study","authors":"Koshika Pandey,&nbsp;Alessandro Benelli,&nbsp;Monica Ferraris","doi":"10.1155/mdp2/8025594","DOIUrl":"https://doi.org/10.1155/mdp2/8025594","url":null,"abstract":"<p>Carbon fiber–reinforced polymers (CFRPs) have gained widespread use across the aerospace, automotive, and energy sectors due to their high strength-to-weight ratio. Many structural applications require joining CFRPs to aluminium alloys, with adhesive bonding offering several advantages over mechanical joining methods, including uniform stress distribution and compatibility with CFRPs. Among various strategies to improve bond strength, surface preparation plays a critical role. This study investigates the effect of chemical etching on CFRP using sulfuric acid solution to enhance bond strength in single-lap joints with aluminium alloys when tested in lap shear test. Experimental results show that optimised chemical etching can triple the lap shear strength compared with untreated samples. Acid concentration significantly influences joint performance; furthermore, the soaking method of etching can yield stronger bonds than the pipette method. Additionally, chemically etched CFRP–Al joints can outperform those treated with conventional sandpaper abrasion. These findings demonstrate the effectiveness of controlled chemical etching in improving the structural integrity of CFRP–metal adhesive joints and provide insights for designing more robust hybrid structures for lightweight applications.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/8025594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148237406","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":"Application of Deep Learning Methodologies in Steel Wheel Design","authors":"Davide Ronco,&nbsp;Giorgio Gallio,&nbsp;Roberto Fontana,&nbsp;Franco Pellerey","doi":"10.1155/mdp2/1430406","DOIUrl":"https://doi.org/10.1155/mdp2/1430406","url":null,"abstract":"<p>Wheel design represents a complex engineering challenge, characterized by constraints related to safety and structural efficiency. This study explores the integration of deep learning (DL) techniques into the optimization process of steel wheel design, with the goal of accurately predicting stress distributions, wheel weight, and material usage based on geometric inputs. A feed-forward neural network was trained on 172 FEM-based (finite element method–based) simulations, achieving high predictive accuracy (<i>R</i>² values between 0.92 and 0.99 across all target variables). Once trained, the model is able to evaluate over 570,000 design configurations in less than 7 min, identifying optimal geometries that minimize critical stresses. Compared with conventional FEM-based workflows which typically require up to 5 days for equivalent optimization, the proposed approach drastically reduces computational time and enables rapid exploration of the design space, supporting more efficient and informed design decisions. Beyond the specific case study, the proposed workflow provides practical insights for the adoption of data-driven surrogate models in engineering applications traditionally relying on FEM-based design processes.</p>","PeriodicalId":100886,"journal":{"name":"Material Design & Processing Communications","volume":"2026 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/mdp2/1430406","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148094006","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}