{"title":"Parametric optimization of response parameter of Nd-YAG laser drilling for basalt-PTFE coated glass fibre using genetic algorithm","authors":"Amiya Kumar Sahoo, Dhananjay R. Mishra","doi":"10.1016/j.jer.2023.07.014","DOIUrl":"10.1016/j.jer.2023.07.014","url":null,"abstract":"<div><div>Composite materials are well-recognised in the automobile and aerospace industries due to their high strength-to-weight ratios. The orientation of fibres and anisotropic properties are gaining the attention of design engineers daily in different manufacturing industries. For stipulated requirements, hybrid composite materials can be developed. Hybrid composite materials have higher variations in the material; it’s difficult to machine using conventional methods. This manuscript reports the optimization of Nd: YAG drilling on basalt and PTFE-coated glass woven fibres hybrid composite material made with hand lay-up method using a genetic algorithm. The process control parameters considered for the laser drilling were lamp current, pulse width, stand-off distance and compressed air pressure. The average values of the top- and bottom-hole diameters were recorded to evaluate and optimise the hole taper. Optimized input parameters yielded were a lamp current of 180 A, a pulse width of 3 ms, a stand-off distance of 3 mm and compressed air pressure of 8 kg/cm<sup>2</sup>. The validation test of the optimized process yielded a hole taper angle of 0.00285°.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 97-110"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76535845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of an integrated harvest, and process planning model in the agri-food industry","authors":"Bilge Bilgen , Tuğçe Taşkıner","doi":"10.1016/j.jer.2023.09.036","DOIUrl":"10.1016/j.jer.2023.09.036","url":null,"abstract":"<div><div>In this paper, an integrated harvest and production planning problem in the olive oil industry is addressed. The aim of the paper is to develop and optimize a mathematical model that integrates both olive harvest and olive oil production process. The objective is to maximize the total profit while determining quantity of olives harvested from several olive groves, quantity of olives purchased from external farmers, quantity of olive oil produced, and by-product management to handle hazardous effects of olive oil production. The problem is formulated as a mixed integer linear programming model (MILP). Maximization of profit consists of two components; total sales revenue and total cost including harvesting, purchasing, fixed and variable processing costs. Constraints on the system include harvest planning, harvest capacity, production planning, and processing constraints. The proposed MILP model incorporates several distinguishing characteristics of the problem such as ripeness of olives, olive oil quality, organic and conventional farming, and by-product management. A numerical experiment based on a real-world case study was presented to verify the effectiveness of the developed model. The results show that simultaneously considering harvesting and production processes can significantly assist the profitability of the olive oil supply chain. A scenario analysis is conducted by extending the base model to explore olive loss in the olive groves which can occur due to the severe climatic conditions.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 331-350"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135850322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influence of marble waste reinforcement on mechanical properties and sliding wear behavior of an aluminium alloy metal matrix composite","authors":"Sachin Tejyan , Chaman Lal , Ch. Kapil. Ror , Vedant Singh","doi":"10.1016/j.jer.2023.08.002","DOIUrl":"10.1016/j.jer.2023.08.002","url":null,"abstract":"<div><div>This study thoroughly analyse the effects of waste marble dust reinforcement in a metal matrix composite made of AA6061 aluminium alloy. The 3-weight percentage, 5-weight percentage, and 7-weight percentage of waste marble dust particles are used as reinforcement. The stir casting technique is used to fabricate the AA6061 based metal matrix composites. Marble dust was preheated at 200 °C before being used as reinforcement. Mechanical properties (tensile strength, micro-hardness, and impact strength) and sliding wear characteristics of the fabricated composites are studied. The sliding wear characteristics of composites were simulated under the pin-on-disc tribometer with varying control parameters. The selected control parameters are sliding velocity (150 rpm, 300 rpm, 450 rpm, 600 rpm), normal load (5 N, 10 N, 15 N, 20 N), and temperature (25 °C, 40 °C, 60 °C, 80 °C). Taguchi design is also used for an optimization of control parameters. Results indicate that a composite reinforced with 5-weight percent marble dust has good mechanical and sliding wear resistance properties compared to 3-weight percent and 7-weight percent marble dust reinforced composites.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 131-141"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78969112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lugas Gada Aryaswara , Muhammad Kusni , Dafa Wijanarko , Muhammad Akhsin Muflikhun
{"title":"Advanced properties and failure characteristics of hybrid GFRP-matrix thin laminates modified by micro glass powder filler for hard structure applications","authors":"Lugas Gada Aryaswara , Muhammad Kusni , Dafa Wijanarko , Muhammad Akhsin Muflikhun","doi":"10.1016/j.jer.2023.08.022","DOIUrl":"10.1016/j.jer.2023.08.022","url":null,"abstract":"<div><div>Fiber reinforced polymer has been used in a broad scope of engineering equipment due to its outstanding advantages. This study investigated the effect of glass powder filler in the matrix modification of glass fiber reinforced polymer that can be further applied for hard structures. The composites were manufactured using a vacuum-assisted resin infusion method with 0, 2,5, 5, and 7,5 wt percentages of glass powder filler. The results have shown that adding glass powder filler in glass fiber reinforced polymer modifies the physical characteristics and enhances the mechanical properties compared to the neat composite. The failure mechanism obtained from the fracture surface investigation demonstrates bridging mechanisms formed effect of glass powder filler addition in the glass fiber reinforced polymer. The strengthening mechanism is formed to enhance the interfacial bonding between the fiber and the matrix. The results reveal the optimum filler addition percentage at 2,5 wt%. Adding 2,5 wt% glass powder filler enhances the flexural strength and interlaminar shear strength by 18,86% and 19,54%, respectively. The glass powder addition offers higher resistance to interlaminar damage. Additional glass powder with a higher weight percentage above the threshold induced microvoid and agglomeration phenomenon.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 142-155"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85051511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel resilient and sustainable supplier selection model based on D-AHP and DEMATEL methods","authors":"Seda Hatice Gökler , Semra Boran","doi":"10.1016/j.jer.2023.07.015","DOIUrl":"10.1016/j.jer.2023.07.015","url":null,"abstract":"<div><div>The natural disasters that cause a sudden violent change in the earth and the disruptions made by humans disrupt operations in the supply chain, causing negative influences such as lost productivity, revenue, competitive advantage, and profitability for the company. Therefore, suppliers need to be capable of being resilient to any disruption and providing sustainable supply. Supplier selection is a multi criteria decision making (MCDM) problem that allows suppliers to evaluate different and often conflicting qualitative and quantitative criteria. Both resilient and sustainable supplier selection problems contain many qualitative criteria. Experts make subjective judgments based on qualitative criteria in the decision-making process. The D number is a method used to find an efficient and feasible solution to uncertain information. In this paper, the DAHP method, which integrates the traditional Analytic Hierarchy Process (AHP) method and the D numbers, is used for the resilient and sustainable supplier selection problem. The Decision Making Trial and Evaluation Laboratory (DEMATEL) method is integrated into DAHP to determine criteria and subcriteria weights. The proposed integrated DAHP-DEMATEL model is implemented in an automobile manufacturing company to demonstrate the effectiveness of the method. The Triantaphyllou method is applied to perform sensitivity analysis. The traditional AHP-DEMATEL hybrid method was applied to the same problem, and sensitivity analysis was performed. The sensitivity analysis results of the hybrid method were compared with the results of the applied AHP-DEMATEL method. It can be said that the proposed model is less affected by subjective evaluations and is a robust method.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 57-67"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90915244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quadruple spherical tank systems with automatic level control applications using fuzzy deep neural sliding mode FOPID controller","authors":"Ashwini A , S.R. Sriram , Joel livin A","doi":"10.1016/j.jer.2023.09.022","DOIUrl":"10.1016/j.jer.2023.09.022","url":null,"abstract":"<div><div>The premier goal of this research is to develop the Fuzzy Deep Neural Sliding Mode Fractional Order Proportional Integral Derivative (FDN-SM-FOPID) controller system for controlling liquid in quadruple spherical tank systems. This is used in non-linear spherical systems to control the level of liquid in real time. These models' dynamics allow for a more accurate identification of the spherical tank system that generates control signals from liquid samples obtained at reference levels. However, because the system is susceptible to outside disturbances, error minimization is not done. Therefore, it requires the addition of a special controller to lessen this flaw. The suggested Deep Neural Fuzzy model's six-layered network is optimized using the back-propagation method. As a result, the system's efficient training reduces offset model errors, steady state errors, and unmeasured disturbances. The liquid level is maintained and controlled by this neural intelligence system, which meets the necessary design requirements such as no overshoot, time constant, less settling and rise time, which is used in various platforms. The FOMCON toolbox in MATLAB software is used for research simulation work. The chemical industry, wastewater treatment, the aerospace industry, and the pharmaceutical industry have all employed the suggested quadruple spherical tank system to test its practicality. The experimental and simulation results are demonstrated by a real-time liquid control experimental setup.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 68-83"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135349219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of track length, track shape, and track location on thermal distortion in laser powder bed fusion of IN625: Single laser vs. three lasers","authors":"Riddhiman Raut, Amit Kumar Ball, Amrita Basak","doi":"10.1016/j.jer.2023.09.026","DOIUrl":"10.1016/j.jer.2023.09.026","url":null,"abstract":"<div><div>Laser powder bed fusion is a popular additive manufacturing process for creating complex metallic components. However, it has limitations in terms of build rate and component size. One potential solution to overcome these limitations is the utilization of multiple lasers for part fabrication. Nevertheless, thermal distortion poses a significant challenge in this approach. While several process parameters can be optimized to minimize distortion, the scan pattern is a critical factor. This study focuses on the design of efficient scan patterns to improve distortion in multi-laser powder bed fusion parts. Previous research has primarily explored default scan patterns like raster, spiral, and Hilbert. In contrast, this paper takes a fundamental approach by introducing customizable variables such as track length, track angle, and track location. The resulting paths are simulated using a commercially available thermo-mechanical solver to systematically evaluate their impact on melt pool dimensions, temperature evolution, stresses, and distortion. The findings indicate that multi-laser simulations consistently exhibit lower thermal distortion compared to single-laser configurations. Longer track lengths result in higher maximum displacement, while straight paths with a 0° track angle reduce distortion. Additionally, boundary conditions significantly affect distortion, and printing farther away from constrained edges proves beneficial in minimizing distortion. In conclusion, the insights derived from this study can be used to design of intelligent scan paths.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 169-184"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135889261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence for experimental investigation and optimal process parameter selection in PM-EDM of nimonic alloy 901","authors":"Ravi Varma Penmetsa, Ashok Kumar Ilanko","doi":"10.1016/j.jer.2023.08.001","DOIUrl":"10.1016/j.jer.2023.08.001","url":null,"abstract":"<div><div>Electrical discharge machining (EDM), a widely used non-contact machining method, employs electric discharge to remove conductive material from workpieces. This study focused on experimentally investigating and optimizing input process parameters for the PM-EDM process of a Nimonic alloy 901 (NA-901) workpiece with a silver electrode. The silicon carbide (SiC) powder particles were explored for their exceptional properties, including high temperature resistance, hardness, thermal conductivity, and resistance to corrosion and oxidation. The study evaluated the impact of input process parameters such as servo voltage (<span><math><msub><mrow><mi>V</mi></mrow><mrow><mi>s</mi></mrow></msub></math></span>), powder concentration (<span><math><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>), pulse-on-time (<span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>on</mi></mrow></msub></math></span>), and peak current (<span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>) on surface roughness rate (SRR),tool wear rate (TWR), and material removal rate (MRR). The Taguchi design approach with an L18 orthogonal array was used to identify the optimal parameter combination based on signal-to-noise (S/N) ratio analysis. To improve optimization, a feed-forward backpropagation neural network (FF-BPNN)was utilized to approximate solutions. The results of the experimental MRR confirmation test (E-MRR) were compared to the MRR values predicted using the FF-BPNN model (P-MRR). Similarly, the SRR (E-SRR) and the TWR (E-TWR) were compared to the predicted SRR and TWR obtained from the proposed FF-BPNN model. In summary, this study presents an experimental examination and optimization of input process parameters in the PM-EDM process of an NA-901 workpiece with a silver electrode.The use of SiC powder particles, the impact of input process parameters, and optimization were explored using Taguchi design and FF-BPNN techniques. This study's results demonstrate these approaches' effectiveness in achieving optimal PM-EDM process parameters.Finally, results revealed E-MRR as 6.894, P-MRR as 6.8913, E-SRR as 0.891, P-SRR as 0.897, E-TWR as 0.116, and P-TWR as 0.015.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 111-121"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74269348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asena Karslioğlu Kaya, Emine Hatice Yavuz, İlkay Ekici, Eren Balaban, Mehmet İnanç Onur
{"title":"Comparison of gyratory compaction effect on coarse and fine-grained soils","authors":"Asena Karslioğlu Kaya, Emine Hatice Yavuz, İlkay Ekici, Eren Balaban, Mehmet İnanç Onur","doi":"10.1016/j.jer.2023.07.017","DOIUrl":"10.1016/j.jer.2023.07.017","url":null,"abstract":"<div><div>Filling materials should have high strength and required gradation. It is important to determine properties of the filling material in the laboratory to satisfy required codes. The optimum water content and maximum dry unit weight can be designated by performing Proctor tests, which have been used for nearly a century. The impact loads are used to compress the soil in an inflexible mold in Proctor tests, but in reality, field compaction methods rely on a combination of kneading, vibration, and augmented normal pressures to achieve required densities in field. In this study, firstly standard proctor tests, modified proctor tests and Supervave Gyratory Compaction tests were conducted on different soil types. Then the compression curves were compared and the statistical analysis (ANOVA) were performed to find out the best methodology. Dry unit weight obtained using the SGC were compared with the maximum dry unit weight obtained using laboratory impact methods. The results showed that soil samples compacted with a gyratory compactor give the same performance over impact compaction methods.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 423-431"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81531982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Uttam Kumar Debnath , Mohammad Asaduzzaman Chowdhury , Nayem Hossain , Dewan Muhammad Nuruzzaman , Arefin Kowser , Biplov Kumar Roy , Md. Masud Rana , Sosmoy Barua , Assadullah Al Mostazi , Md. Baizid Molla
{"title":"Synthesis and characterization of novel hybrid composites using nanofiller-nanofibrous coating for industrial applications","authors":"Uttam Kumar Debnath , Mohammad Asaduzzaman Chowdhury , Nayem Hossain , Dewan Muhammad Nuruzzaman , Arefin Kowser , Biplov Kumar Roy , Md. Masud Rana , Sosmoy Barua , Assadullah Al Mostazi , Md. Baizid Molla","doi":"10.1016/j.jer.2023.10.005","DOIUrl":"10.1016/j.jer.2023.10.005","url":null,"abstract":"<div><div>Composite materials are gaining popularity because of their superior properties compared to traditional materials. However, further improvements can be made by adding nanoparticles as nanocoating and nanofiller with the composite materials for different industrial applications. In this study, a Kevlar fibre mat has been coated by nanoparticles. In addition to this, different nanofillers have also been added. Various mechanical, physical, morphological, and thermal characterization techniques have been performed to characterize the synthesized composites. Five different samples were made where graphenenanocomposites showed the highest mechanical properties in hardness, tensile, bending, and compression. Around 15%, 35%, 120% and 170% improvement was obtained in hardness, tensile, bending and compression due to graphene incorporation compared to the composite without nanopartilces reinforcement.The minimum void fraction was obtained from the sample prepared without nanoparticles, which was 2.9%. The nanocoated surfaces of the composites were smoother and had a better surface finish with the uniform distribution of nanoparticles. The addition of graphene and other nanoparticles increased the crystallinity and binding energy of the composites. Fourier Transformed Infrared Spectroscopy analysis identified the presence of different functional groups. The addition of nanoparticles increased the thermal stability significantly.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 1","pages":"Pages 198-217"},"PeriodicalIF":0.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134935918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}