Reprint

Machining—Recent Advances, Applications and Challenges

Edited by
August 2019
556 pages
  • ISBN978-3-03921-377-1 (Paperback)
  • ISBN978-3-03921-378-8 (PDF)

This book is a reprint of the Special Issue Machining—Recent Advances, Applications and Challenges that was published in

Chemistry & Materials Science
Engineering
Physical Sciences
Summary

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.

Format
  • Paperback
License
© 2019 by the authors; CC BY-NC-ND license
Keywords
dry-cutting; concrete; segmented diamond blade; topography; diameter variation; weight loss; in situ estimation; SACE-drilled hole depth; spark-assisted chemical engraving; glass machining; computer vision; electrochemical discharge machining; butt weld joint; fatigue; crack growth rate; weld reinforcement; cooling rate; artificial neutral network; cutting parameters; magnesium alloys; optimization; prime machining costs; surface roughness; electropulsing; machinability; chip compression ratio; current density; specific cutting energy; cutting edge microgeometry; residual stress; finite element model; cutting edge preparation; Inconel 718; stiffness properties; parameter identification; connections; machine tool; response surface methodology; design of experiments; modal testing; plastic zone; fracture mechanism; steel sheet; cutting process; Huber–Mises stress; finite element method; microscopic analysis; PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating; cutting temperature; Inconel 718; cutting tool wear; secondary adhesion wear; turning; machining; aluminium; flank super abrasive machining (SAM); flank milling; Inconel® 718; roughness; residual stress; machine vision; on-machine monitoring; tool insert condition; computer numerical control; turning machine tools; multi-beam laser; heat transfer analysis; fast simulation; GPU; analytic solution; minimum quantity lubrication; surface grinding; multi-objective optimization; grey relational analysis; surface topography; sustainable machining; Gamma-TiAl; superalloys; slight materials; drilling; titanium aluminides; additive manufacturing; single point incremental sheet forming; residual stresses; X-ray diffraction; ultra-precision machining; slow tool servo; surface topography; simulation; microlens array; sinusoidal grid; Milling stability; variable pitch; chatter; self-excitation; milling; ceramics; ductile machining; PCD; corner radius; material removal rate; adhesive; machining; modelling; dry; CFRP/UNS A92024; induction assisted milling; tool wear; taguchi method; cutting tool; machining temperatures at two deformation zones; force–temperature correlation through analytical modeling; high computational efficiency; real-time prediction; hybrid stacks drilling; minimum quantity lubrication; hole quality; tool wear; WEDM; EN 31 steel; surface roughness; fractal dimension; ANN; GA; cryogenic machining; cutting tool; cutting geometry; titanium; power consumption; material-removal rate; specific energy consumption; grain density; modeling; shape memory alloy; superelastic nitinol; WEDM; heat transfer search algorithm; DSC test; shape memory effect; dish angle; trochoidal step; response surface methodology; surface roughness; desirability approach; tool wear; trochoidal milling; titanium alloy; chip morphology; thin-wall machining; chatter; vibration; deflection; damping; prediction; workholding; fixture; dynamic; stability; titanium alloys; machining; turning; machinability; tool wear; laser-assisted machining; Taguchi method; optimal machining conditions; machining characteristic; milling; the cutting force components; vibrations; magnesium alloys; artificial neural networks