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"Davim, J. Paulo"
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Modeling and optimization of Wire-EDM parameters for machining of Ni55.8Ti shape memory alloy using hybrid approach of Taguchi and NSGA-II
In the present research, Ni
55.8
Ti shape memory alloy has been machined by wire electric discharge machining (wire-EDM) process. The effects of input parameters such as spark gap voltage, pulse on-time, pulse off-time, and wire feed on productivity, i.e., metal removal rate (MRR) and surface quality, i.e., mean roughness depth (
R
z
), have been investigated. Empirical modeling and ANOVA study have been done after conducting 16 experiments based on Taguchi’s L
16
design of experiment technique. Ranking and crowding distance–based non-dominated sorting algorithm-II (NSGA-II) is used for process optimization. The error percentage varies within ± 6% between experimental results and the predicted results developed by NSGA-II. It has been observed that the wire-EDM machining of Ni
55.8
Ti alloy at optimum parameters resulted in improved MRR —0.021 g/min—and surface quality with good surface finish (
R
z
—6.2 μm) and integrity as significant reduction in the formation of cracks, lumps, and deposited layers.
Journal Article
Integration of process planning and scheduling : approaches and algorithms
\"Both process planning and scheduling are very important functions of manufacturing, which affects together the cost to manufacture a product and the time to deliver it. This book contains various approaches proposed by researchers, to integrate the process planning and scheduling functions of manufacturing under varying configurations of shops. It is useful for both beginners and advanced researchers to understand and formulate the Integration Process Planning and Scheduling (IPPS) problem effectively\"-- Provided by publisher.
BOOK
A review on micro-milling: recent advances and future trends
Recently, mechanical micro-milling is one of the most promising micro-manufacturing processes for productive and accurate complex-feature generation in various materials including metals, ceramics, polymers and composites. The micro-milling technology is widely adapted already in many high-tech industrial sectors; however, its reliability and predictability require further developments. In this paper, micro-milling related recent results and developments are reviewed and discussed including micro-chip removal and micro-burr formation mechanisms, cutting forces, cutting temperature, vibrations, surface roughness, cutting fluids, workpiece materials, process monitoring, micro-tools and coatings, and process-modelling. Finally, possible future trends and research directions are highlighted in the micro-milling and micro-machining areas.
Journal Article
Principles of entrepreneurship in the industry 4.0 era
\"The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world\"-- Provided by publisher.
Book
Mechanical deburring and edge-finishing processes for aluminum parts—a review
Burr formation is considered as a detrimental phenomenon that not only decreases the machined part surface and assembly quality, but also increases the production cost. To conduct burr removal from machined edges and holes, the costly and non-desirable secondary operation, so-called deburring, is demanded. The complexity and severity of deburring processes depend on several factors, including burr size, location, and the material to be deburred. Due to vast applications of aluminum alloys in numerous manufacturing sectors including automotive and aerospace industries, adequate knowledge of the most widely used deburring processes on aluminum alloys is demanded. However, surprisingly, despite the acute demands by numerous manufacturing sectors, no state of the art was found in the open literature about applicable deburring and edge-finishing methods for aluminum work parts. This lack is intended to be remedied in this work by providing an insight into the most widely used deburring and edge-finishing processes for aluminum work parts. To that end, several deburring classifications were proposed. The main highly used category of deburring techniques is mechanical deburring process which is related to the removal of various kinds of burr shapes and size by means of mechanical abrasion. In fact, mechanical deburring processes are the most widely used techniques due to versatility, flexibility, deburring rate, and acceptable cost. Among mechanical deburring methods, several methods including robotic, CNC, and manual deburring were presented in this work. A brief insight into the application of several other non-classified mechanical deburring processes was also presented. In addition, knowing that an accurate selection of deburring methods is highly dependent to proper understanding of the burr formation, therefore, an overview of burr formation mechanism, morphology, shape, and, in principle, those factors governing burr formation are also presented, followed by experimental, numerical, and analytical models of burr formation morphology and size. Other general concerns, including the use of lubricant and its effects on deburring performance, must be identified. The future demands of precision deburring are challenging, not only for machine tools and deburring tools, but also for high-precision machining researchers. Close collaborations between machine tool builders, CAD/CAM programmers for precision tool path planning, and deburring and edge-finishing R & D community are highly demanded towards the successful movement to the next generation of precision deburring and edge finishing.
Journal Article
Industry 4.0 and climate change
\"At present both Industry 4.0 and industrial engineering management developments are reshaping the industrial sector worldwide. Industry 4.0 and sustainability are considered as the crucial emerging trends in industrial production systems. Resulting transformations are changing production modes from traditional to digital, intelligent and decentralized. It is expected that Industry 4.0 will help drive sustainability in industries thanks to the implementation of advanced technology and a move towards the social sustainability. This book reflects on the consequences of the transition to Industry 4.0 for climate change. The book presents a systemic overview of the current negative consequences of digitization for the environment, presents a new outline of the energy domain and expected changes in environmental pollution levels under Industry 4.0. The book also analyses the ecological consequences of growth and development of Industry 4.0, and considers Industry 4.0 as an alternative to fighting climate change, in the sense of shifting the global community's attention from environmental protection to consolidation of the digital economy. This book will be of interest to academics and practitioners in the fields of climate change and development of Industry 4.0, and it will contribute to national economic policies for fighting climate change and corporate strategies of sustainable development under Industry 4.0\"-- Provided by publisher.
Book
Tribological characterisation of magnesium matrix nanocomposites: A review
Magnesium matrix nanocomposites (Mg-MNCs) are high grade materials widely used in aerospace, electronics, biomedical and automotive sectors for high strength to weight ratio, excellent sustainability and superior mechanical and tribological characteristics. Basic properties of Mg-MNCs rely on type and amount of reinforcement and fabrication process. Current study reviews existing literatures to explore contribution of different parameters on tribological properties of Mg-MNCs. Effects of particle size and amount of different reinforcements like SiC, WC, Al2O3, TiB2, CNT, graphene nano platelets (GNP), graphite on tribological behaviour are discussed. Incorporation of nanoparticles generally enhances properties. Role of different fabrication processes like stir casting (SC), ultrasonic treatment casting (UST), disintegrated melt deposition (DMD), friction stir processing (FSP) on wear and friction behaviour of Mg-MNCs is also reviewed. Contributions of different tribological process parameters (sliding speed, load and sliding distance) on wear, friction and wear mechanism are also examined.
Journal Article
Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy
NiTiNOL (Nickel–Titanium) shape memory alloys (SMAs) are ideal replacements for titanium alloys used in bio-medical applications because of their superior properties like shape memory and super elasticity. The machining of NiTiNOL alloy is challenging, as it is a difficult to cut material. Hence, in the current research the experimental studies on machinability aspects of medical grade NiTiNOL SMA during wire electric discharge machining (WEDM) using zinc coated brass wire as electrode material have been carried out. Pulse time (Ton), pause time (Toff), wire feed (WF), and servo voltage (SV) are chosen as varying input process variables and the effects of their combinational values on output responses such as surface roughness (SR), material removal rate (MRR), and tool wear rate (TWR) are studied through response surface methodology (RSM) based developed models. Modified differential evolution (MDE) optimization technique has been developed and the convergence curve of the same has been compared with the results of differential evolution (DE) technique. Scanning electron microscopy (SEM) and energy dispersive X-ray spectrography (EDS) analysis are carried out to study the surface morphology of the machined alloy. SV is found to be more influential process parameter for achieving better MRR with minimal SR and TWR, followed by Ton, Toff, and WF. The WF has good impact on reduced SR and TWR responses and found to be least significant in maximizing MRR.
Journal Article
Modeling and Optimization of Fractal Dimension in Wire Electrical Discharge Machining of EN 31 Steel Using the ANN-GA Approach
To achieve enhanced surface characteristics in wire electrical discharge machining (WEDM), the present work reports the use of an artificial neural network (ANN) combined with a genetic algorithm (GA) for the correlation and optimization of WEDM process parameters. The parameters considered are the discharge current, voltage, pulse-on time, and pulse-off time, while the response is fractal dimension. The usefulness of fractal dimension to characterize a machined surface lies in the fact that it is independent of the resolution of the instrument or length scales. Experiments were carried out based on a rotatable central composite design. A feed-forward ANN architecture trained using the Levenberg-Marquardt (L-M) back-propagation algorithm has been used to model the complex relationship between WEDM process parameters and fractal dimension. After several trials, 4-3-3-1 neural network architecture has been found to predict the fractal dimension with reasonable accuracy, having an overall R-value of 0.97. Furthermore, the genetic algorithm (GA) has been used to predict the optimal combination of machining parameters to achieve a higher fractal dimension. The predicted optimal condition is seen to be in close agreement with experimental results. Scanning electron micrography of the machined surface reveals that the combined ANN-GA method can significantly improve the surface texture produced from WEDM by reducing the formation of re-solidified globules.
Journal Article