Article
Chemistry, Physical
Issam Abu-Mahfouz, Amit Banerjee, Esfakur Rahman
Summary: This research aims to predict surface roughness during steel end milling by analyzing vibration signals and determine optimal cutting conditions through evolutionary optimization. The comparison of different evolutionary algorithms shows that differential evolution and its variant outperform particle swarm optimization and its variants, and both outperform the canonical genetic algorithm. The study also reveals significant differences in feature selection methods, while no difference in performance was found between the two binarization methods.
Article
Chemistry, Multidisciplinary
Vinothkumar Sivalingam, Jie Sun, Siva Kumar Mahalingam, Lenin Nagarajan, Yuvaraj Natarajan, Sachin Salunkhe, Emad Abouel Nasr, J. Paulo Davim, Hussein Mohammed Abdel Moneam Hussein
Summary: This research investigates the machinability of turning Hastelloy X with a PVD Ti-Al-N coated insert tool in different machining environments, and proposes a Moth-Flame Optimization algorithm to determine the optimal set of turning parameters. Through three case studies considering individual machinability indices, the effectiveness of the MFO algorithm is verified and found to outperform other optimization algorithms studied. Confirmation experiments are conducted to validate the optimal combination of turning parameters identified by the MFO algorithm.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Ray Tahir Mushtaq, Mohammed Alkahtani, Aqib Mashood Khan, Mustufa Haider Abidi
Summary: This research aims to establish the ideal settings for Nylon-6 three-dimensional printing using the fused filament production process and examine the resulting surface roughness. The study identifies the impact of various parameters on surface roughness, sustainability, and mechanical properties, providing valuable insights for future research and prototypes.
Article
Computer Science, Artificial Intelligence
Jiawei Yuan, Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, Zhaoshui He
Summary: This article investigates the properties of ratio and difference-based indicators under the Minkovsky distance, and proposes an algorithm for solution evaluation using a ratio-based indicator. By identifying promising regions and ensuring population diversity, the algorithm demonstrates competitive performance on various benchmark problems.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2021)
Article
Mathematics
Valentin Koblar, Bogdan Filipic
Summary: This paper proposes a model for predicting the surface roughness of automotive components using machine vision, machine learning, and evolutionary optimization algorithms. The machine vision algorithm extracts attributes, the machine learning algorithm generates the predictive model, and the evolutionary algorithm tunes parameters for accuracy. This methodology allows for online, real-time prediction of surface roughness, comparable in accuracy to traditional contact measurement methods.
Article
Optics
Huang Li, Xiaoqiang Peng, Yueming Wang, Chaoliang Guan, Hao Hu, Chao Xu, Tao Lai, Hao Liu, Junfeng Liu
Summary: This paper establishes machining error, surface defect, and surface roughness models of convex blazed gratings and investigates their influence on diffraction efficiency. The results show that curvature radius error, blazed angle error, and grating period error have significant effects on diffraction efficiency.
Article
Optics
Huang Li, Xiaoqiang Peng, Yueming Wang, Chaoliang Guan, Hao Hu, Chao Xu, Tao Lai, Hao Liu, Junfeng Liu
Summary: The paper uses PCGrate software to establish the machining error, surface defect, and surface roughness models for convex spherical blazed grating. The impact of these factors on the diffraction efficiency of the grating is studied. The results show that the blazed angle has the largest impact on the diffraction efficiency, while the grating apex angle has the smallest impact. The influence of other factors such as base curvature radius error, grating period error, grating ridge and valley passivation radius, Poisson burr height, and blaze surface roughness can be ignored.
Article
Materials Science, Multidisciplinary
Cheng-Che Tung, Yu-Yi Lai, Yan-Zhen Chen, Chien-Chih Lin, Po-Yu Chen
Summary: This study systematically described and generated quasi-3D porous structures with varying regularities using Voronoi segmentation. Genetic algorithms were then applied to optimize the mechanical properties of these structures. Simulation and testing results showed that the optimized structures exhibited higher stiffness, strength, and toughness values.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Computer Science, Artificial Intelligence
Junbo Lian, Guohua Hui
Summary: This paper introduces the Human Evolutionary Optimization Algorithm (HEOA), which is a metaheuristic algorithm inspired by human evolution. The algorithm divides the global search process into two distinct phases and uses unique search strategies. Comparative analysis with other algorithms demonstrates the effectiveness of HEOA in approximating optimal solutions for complex global optimization problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Fangqing Gu, Haosen Liu, Yiu-ming Cheung, Hai -Lin Liu
Summary: This study proposes an adaptive constraint regulation method to balance the feasibility and convergence of solutions by adjusting the constraint violation of infeasible solutions. Experimental results demonstrate that the proposed method effectively achieves solution balance and improves solution diversity.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Engineering, Mechanical
I. Bhavya Swathi, L. Suvarna Raju, K. Venkata Rao
Summary: Ultrasonic vibration assisted friction stir processing is a technique that improves the surface properties of ductile materials like aluminium. This study focuses on enhancing the mechanical properties of the AA7075-T651 surface composite by adding nano B4C particles under optimum working conditions. Through experiments conducted with and without ultrasonic vibrations at different levels of tool rotation speed, tool processing speed and volume percentage of nano B4C particles, the ultimate tensile strength, impact strength, yield strength, percentage of elongation and hardness of the composite are measured. The Jaya algorithm is used to determine the best conditions, which include a tool rotation speed of 1112 r/min, a tool traverse speed of 43.96 mm/min, and a volume percentage of 4.02% for B4C nano particles. Microstructure analysis shows that the addition of ultrasonic vibrations results in a fine grain structure and uniform distribution of reinforcement, leading to improved mechanical properties in the AA7075 alloy.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2022)
Article
Automation & Control Systems
Shuzhi Gao, Xuepeng Ren, Yimin Zhang
Summary: In some algorithms, Euclidean distance is used to calculate the crowded distance between subproblems. However, this method leads to an undesirable distribution of congestion degree. To address this issue, an improved multi-objective evolutionary algorithm called MOEA/D-ROE is proposed. It divides subproblems with different congestion levels into different areas and adjusts the weights regularly to redistribute them more evenly and obtain more uniform solutions.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Chemistry, Physical
Cristina Iosif, Stanca Cuc, Doina Prodan, Marioara Moldovan, Ioan Petean, Anca Labunet, Lucian Barbu Tudoran, Iulia Clara Badea, Sorin Claudiu Man, Mindra Eugenia Badea, Radu Chifor
Summary: The present research investigates the mechanical properties, liquid absorption, and solubility of three different orthodontic cements. BracePaste exhibits the best compressive and flexural strength, while Transbond performs best in terms of diametral tensile strength. Fuji Ortho shows the lowest values. BracePaste also demonstrates the highest resistance to liquids. SEM and AFM imaging confirm the structural differences between the cements and their susceptibility to liquid penetration. The findings suggest that BracePaste is suitable for long-term orthodontic treatment for patients who regularly consume acidic beverages.
Article
Engineering, Mechanical
Mahmoud Heshmat, Yasser Abdelrhman
Summary: The study aims to evaluate the impact of slurry impacts on improving the surface roughness of FDM manufactured parts and develops a regression model for predicting surface roughness values. The research contributes to new knowledge by providing a new technique for enhancing the surface roughness of FDMed products.
RAPID PROTOTYPING JOURNAL
(2021)
Article
Materials Science, Multidisciplinary
Nagarajan Lenin, Mahalingam Sivakumar, Gurusamy Selvakumar, Devaraj Rajamani, Vinothkumar Sivalingam, Munish Kumar Gupta, Tadeusz Mikolajczyk, Danil Yurievich Pimenov
Summary: This study investigated the WEDM of aluminum reinforced with fly ash and boron carbide hybrid composites, analyzing the impact of reinforcement wt% and machining parameters on performance characteristics. Adjustment of WEDM process control parameters and experimental design through the Taguchi methodology provided insights into the effects on machining performance. The study also proposed the Grass-Hopper Optimization algorithm to optimize process control parameters for maximizing volume removal rate and minimizing surface roughness, outperforming other optimization algorithms in terms of performance improvement.
Review
Computer Science, Artificial Intelligence
Danil Yu Pimenov, Andres Bustillo, Szymon Wojciechowski, Vishal S. Sharma, Munish K. Gupta, Mustafa Kuntoglu
Summary: This article discusses the online trend of modern approaches in tool condition monitoring during different machining operations. It focuses on the wear of cutting tools, cutting force determination, and surface roughness variations as the machining responses. The effective use of new sensors and artificial intelligence (AI) techniques are considered in this holistic review work. Various AI methods, such as neural networks, image recognition, and fuzzy logic, are discussed, along with the advantages, disadvantages, and prospects of using AI for tool wear monitoring.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Review
Computer Science, Interdisciplinary Applications
Mehmet Erdi Korkmaz, Munish Kumar Gupta
Summary: This study evaluates the position and capability of simulation modeling methods in fundamental machining operations, discussing the contributions of Finite Element Modeling Methods to process performance and critically assessing their merits and drawbacks. Predictive models aim to estimate machinability characteristics, and practical applications require correlations with performance outcomes.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Ramesh Chand, Vishal S. Sharma, Rajeev Trehan, Munish Kumar Gupta, Murat Sarikaya
Summary: This study investigates the dimensional accuracy and surface roughness of 3D printed parts in different orientations. The results demonstrate that the orientation with the largest surface area in contact with the base plate is the most suitable.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Management
Neeraj Bhanot, Jaya Ahuja, Humaid Imran Kidwai, Ankit Nayan, Rajbir S. Bhatti
Summary: This study utilizes a machine learning approach to analyze the current economic situation and propose sustainable measures for global economic recovery, using the Make in India (MII) initiative as a case study. The findings highlight the importance of digital transformation and the inter-relationship between key performance indicators for optimizing manufacturing performance and utilizing foreign direct investment resources effectively. This research has significant implications for policymakers and stakeholders in decision-making and legislation across various sectors.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2023)
Editorial Material
Chemistry, Multidisciplinary
A. Garcia-Collado, R. Dorado-Vicente, Pablo E. Romero, Munish Kumar Gupta
APPLIED SCIENCES-BASEL
(2023)
Article
Automation & Control Systems
Vinothkumar Sivalingam, Qian Zhou, Ganesh Manickajothi, Nimel Sworna Ross, Jie Sun, Munish Kumar Gupta, Mehmet Erdi Korkmaz, Thangapandian Nagamalai
Summary: Through the investigation of cutting fluid in machining, cryogenic cooling is found to be an efficient method for achieving sustainability and cleaner process, resulting in reduced tool wear and improved surface finish.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Nimel Sworna Ross, Belsam Jeba Ananth Manasea Selvin, Srinivasan Nagarajan, Peter Madindwa Mashinini, Satish Kumar Dharmalingam, Akash Paul Savio, Munish Kumar Gupta, Mehmet Erdi Korkmaz
Summary: This study investigates the influence of different coolant techniques on the machining of as casted aluminium with nano silicon carbide composite. The results show that cryo-CO2 cooling and MQL have a significant improvement on the machining performance.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Chuan Sun, Yuancheng Geng, Adam Glowacz, Maciej Sulowicz, Zhenjun Ma, Patrick Siarry, Munish Kumar Gupta, Z. Li
Summary: This study investigated the impact of a magnetic field on the heat transfer of Fe3O4 ferrofluid swirl flow. The results showed that applying the magnetic field at different locations improved the convective heat transfer coefficient and reduced the absorber tube temperature, but increased the pressure drop over the tube.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2023)
Article
Engineering, Mechanical
Mohd Danish, Munish Kumar Gupta, Alberto Garcia-Collado
Summary: Sustainable manufacturing refers to environmentally friendly and energy-efficient production of both sustainable products and all products. This paper aims to establish an accurate method for measuring the machining responses of gun metal using sustainable cooling strategies. The study found that using cryogenic carbon dioxide in machining can significantly reduce temperature, improve surface quality, and consume less power.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Multidisciplinary Sciences
Mariusz Pelc, Radana Vilimkova Kahankova, Monika Blaszczyszyn, Dariusz Mikolajewski, Mariusz Konieczny, Volodymir Khoma, Gregor Bara, Jaroslaw Zygarlicki, Radek Martinek, Munish K. Gupta, Edward Jacek Gorzelanczyk, Mateusz Pawlowski, Bogdan Czapiga, Malgorzata Zygarlicka, Aleksandra Kawala-Sterniuk
Summary: This paper introduces an alternative approach to the diagnosis/screening of spine diseases using inertial measurement unit, with policy-based computing as the core for the inference systems. Although applicable to various spine diseases, the focus will be on sagittal imbalance detection.
SCIENTIFIC REPORTS
(2023)
Review
Materials Science, Multidisciplinary
Oleksandr Yevdokymov, Vitalii Kolesnyk, Jozef Peterka, Tomas Vopat, Munish Kumar Gupta, Dmytro Lisovenko, Andrii Dovhopolov
Summary: Nickel superalloys, with Inconel 718 being a well-known example, have a wide range of applications in industries such as aerospace, energy, and automotive. This article discusses the research and improvement of machining conditions for Inconel 718, analyzing tool materials, methods, and coating types used in turning operations. The study also considers finite element method modeling of processing processes and identifies areas for future research.
Article
Materials Science, Multidisciplinary
Nimel Sworna Ross, Munish Kumar Gupta, Peter Madindwa Mashinini, M. Belsam Jeba Ananth, Grzegorz M. Krolczyk
Summary: Additive manufacturing (AM) has advantages over conventional manufacturing techniques, but the mechanical and tribological qualities of AMed parts are different. This study investigates the impact of four environmental regimes on the metal cutting of AMed stainless steel specimens, and finds that N-MQL lubrication offers enhanced machining performance and surface quality.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Chemistry, Physical
Nimel Sworna Ross, Peter Madindwa Mashinini, Ritu Rai, Munish Kumar Gupta
Summary: Nanofluids with high thermal conductivity and viscosity are promising options for heat transfer. Rice bran oil enriched with carbon nanodots shows considerable impact on the machinability of 316 stainless steel. Adding 1wt.% of nanoparticles increases thermal conductivity and viscosity, while using nanoparticles in minimum quantity lubrication reduces roughness and tool wear.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Automation & Control Systems
Saurabh Tiwari, M. Amarnath, Munish Kumar Gupta, Mayur A. Makhesana
Summary: The use of nano-suspended coconut oil in machining of steel has shown that nanofluid minimum quantity lubrication (NF-MQL) significantly reduces tool wear, improves surface finish quality, and decreases cutting temperature.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
