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This Special Issue addresses the important issue of the energy efficiency of both manufacturing processes and systems. Manufacturing is responsible for one-third of global energy consumption and CO2 emissions. Thus, improving the energy efficiency of production has been the focus of research in recent years. Energy efficiency has begun to be considered as one of the key decision-making attributes for manufacturing. This book includes recent studies on methods for the measurement of energy efficiency, tools and techniques for the analysis and development of improvements with regards to energy consumption, modeling and simulation of energy efficiency, and the integration of green and lean manufacturing. This book presents a breadth of relevant information, material, and knowledge to support research, policy-making, practices, and experience transferability to address the issues of energy efficiency.

History of engineering & technology --- energy consumption --- scheduling approach --- mixed-flow shop --- multi-objective optimisation --- tardiness fine --- energy efficiency --- sustainable machining --- multi-objective optimization --- multi-criteria decision making method --- small quantity cooling lubrication SQCL --- cu nanofluid --- remote laser welding --- energy-efficient process --- machine learning --- welding process --- neural network --- knowledge representation --- fuzzy reasoning Petri net --- energy efficient operation --- manufacturing system --- Manufacturing --- life-cycle assessment --- aluminum --- cast iron --- pulp --- paper --- structural change --- compressed air systems --- energy data analysis --- energy measures --- performance control --- operations --- maintenance --- energy accounting --- laser drilling --- percussion --- trepanning --- productivity --- cost --- material removal rate (MRR) --- specific energy consumption (SEC) --- Taguchi --- hole taper --- IN 718 --- electric discharge machining --- response surface methodology --- sustainability --- surface quality --- microstructure --- multi-criteria decision making --- process planning --- manufacturing energy efficiency --- clean manufacturing --- sustainable manufacturing --- digital manufacturing

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The Special Issue Machining—Recent Advances, Applications and Challenges is intended as a humble collection of some of the hottest topics in machining. The manufacturing industry is a varying and challenging environment where new advances emerge from one day to another. In recent years, new manufacturing procedures have retained increasing attention from the industrial and scientific community. However, machining still remains the key operation to achieve high productivity and precision for high-added value parts. Continuous research is performed, and new ideas are constantly considered. This Special Issue summarizes selected high-quality papers which were submitted, peer-reviewed, and recommended by experts. It covers some (but not only) of the following topics: High performance operations for difficult-to-cut alloys, wrought and cast materials, light alloys, ceramics, etc.; Cutting tools, grades, substrates and coatings. Wear damage; Advanced cooling in machining: Minimum quantity of lubricant, dry or cryogenics; Modelling, focused on the reduction of risks, the process outcome, and to maintain surface integrity; Vibration problems in machines: Active and passive/predictive methods, sources, diagnosis and avoidance; Influence of machining in new concepts of machine–tool, and machine static and dynamic behaviors; Machinability of new composites, brittle and emerging materials; Assisted machining processes by high-pressure, laser, US, and others; Introduction of new analytics and decision making into machining programming. We wish to thank the reviewers and staff from Materials for their comments, advice, suggestions and invaluable support during the development of this Special Issue.

in situ estimation --- modeling --- simulation --- variable pitch --- X-ray diffraction --- cutting edge preparation --- plastic zone --- flank milling --- surface roughness --- power consumption --- cutting tool --- fatigue --- additive manufacturing --- optimization --- trochoidal step --- surface topography --- sinusoidal grid --- milling --- desirability approach --- electrochemical discharge machining --- fast simulation --- Inconel 718 --- secondary adhesion wear --- machinability --- hybrid stacks drilling --- cooling rate --- shape memory alloy --- residual stress --- diameter variation --- turning --- computer vision --- workholding --- on-machine monitoring --- chip morphology --- dry-cutting --- turning machine tools --- SACE-drilled hole depth --- residual stresses --- cryogenic machining --- prime machining costs --- PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating --- single point incremental sheet forming --- butt weld joint --- dish angle --- machining characteristic --- DSC test --- segmented diamond blade --- cutting tool wear --- ultra-precision machining --- ceramics --- shape memory effect --- current density --- fractal dimension --- crack growth rate --- drilling --- force–temperature correlation through analytical modeling --- finite element model --- analytic solution --- aluminium --- taguchi method --- multi-objective optimization --- real-time prediction --- Gamma-TiAl --- cutting temperature --- EN 31 steel --- superalloys --- material-removal rate --- glass machining --- corner radius --- thin-wall machining --- vibration --- GPU --- titanium aluminides --- minimum quantity lubrication --- machining temperatures at two deformation zones --- finite element method --- roughness --- slight materials --- high computational efficiency --- dynamic --- adhesive --- heat transfer analysis --- connections --- stability --- vibrations --- trochoidal milling --- magnesium alloys --- specific cutting energy --- laser-assisted machining --- artificial neutral network --- microscopic analysis --- Milling stability --- topography --- weight loss --- modal testing --- sustainable machining --- dry --- damping --- ductile machining --- Inconel® 718 --- modelling --- cutting edge microgeometry --- electropulsing --- PCD --- cutting geometry --- fixture --- artificial neural networks --- spark-assisted chemical engraving --- machining --- specific energy consumption --- heat transfer search algorithm --- material removal rate --- prediction --- CFRP/UNS A92024 --- tool wear --- titanium alloy --- multi-beam laser --- chip compression ratio --- design of experiments --- concrete --- ANN --- titanium --- chatter --- response surface methodology --- machine tool --- superelastic nitinol --- optimal machining conditions --- machine vision --- steel sheet --- cutting process --- fracture mechanism --- self-excitation --- tool insert condition --- induction assisted milling --- hole quality --- GA --- titanium alloys --- microlens array --- parameter identification --- Taguchi method --- weld reinforcement --- slow tool servo --- cutting parameters --- flank super abrasive machining (SAM) --- stiffness properties --- grey relational analysis --- deflection --- computer numerical control --- grain density --- surface grinding --- the cutting force components --- Huber–Mises stress --- WEDM