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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