Resource saving by optimization and machining environments for sustainable manufacturing: A review and future prospects
The most important aspect of sustainability in manufacturing is the preservation of energy
and natural resources. For modern production, optimized processes that minimize negative …
and natural resources. For modern production, optimized processes that minimize negative …
Modeling and optimization of tool wear in MQL-assisted milling of Inconel 718 superalloy using evolutionary techniques
The Inconel 718 alloy, a difficult-to-cut superalloy with an extensive demand on aircraft and
nuclear industries, being a low thermally conductive material exhibits a poor machinability …
nuclear industries, being a low thermally conductive material exhibits a poor machinability …
Environment friendly machining of Inconel 625 under nano-fluid minimum quantity lubrication (NMQL)
Superalloy Inconel 625 although having many industrial applications owing to its high
strength, exhibits poor machinability because of its sticky nature and poor heat conductivity …
strength, exhibits poor machinability because of its sticky nature and poor heat conductivity …
A simulation approach for estimating flank wear and material removal rate in turning of Inconel 718
The present work attempts to study the effect of important machining variables on
performance characteristics such as material removal rate and tool wear in turning of Inconel …
performance characteristics such as material removal rate and tool wear in turning of Inconel …
A finite element based data analytics approach for modeling turning process of Inconel 718 alloys
Turning is a primary metal cutting process deployed extensively for producing components
to required shape and dimensions. A commonly used material is Inconel 718, which exhibits …
to required shape and dimensions. A commonly used material is Inconel 718, which exhibits …
Characterising surface roughness of Ti-6Al-4V alloy machined using coated and uncoated carbide tools with variable nose radius by machine learning
A rich literature explores how cutting parameters influence surface roughness in machining
different materials using two-or three-dimensional visualisations. Research on Ti-6Al-4V …
different materials using two-or three-dimensional visualisations. Research on Ti-6Al-4V …
Minimization of turning time for high-strength steel with a given surface roughness using the Edgeworth–Pareto optimization method
High-strength steels are used in various civilian and military products. The initial cost of the
raw materials for these products is very high. The surface roughness of these products is …
raw materials for these products is very high. The surface roughness of these products is …
Physics-embedded machine learning: Case study with electrochemical micro-machining
Although intelligent machine learning techniques have been used for input-output modeling
of many different manufacturing processes, these techniques map directly from the input …
of many different manufacturing processes, these techniques map directly from the input …
Cancer classification based on support vector machine optimized by particle swarm optimization and artificial bee colony
L Gao, M Ye, C Wu - Molecules, 2017 - mdpi.com
Intelligent optimization algorithms have advantages in dealing with complex nonlinear
problems accompanied by good flexibility and adaptability. In this paper, the FCBF (Fast …
problems accompanied by good flexibility and adaptability. In this paper, the FCBF (Fast …
Geometry-independent microstructure optimization for electron beam powder bed fusion additive manufacturing
The ability to manipulate the formation of microstructure is one of the potential advantages of
additive manufacturing. Yet, the additive manufacturing process is riddled with complex …
additive manufacturing. Yet, the additive manufacturing process is riddled with complex …