Machining Economics and Optimization

2020 ◽  
Author(s):  
Student Research
Keyword(s):  
Machining Economics

Machining economics with phase-type distributed tool lives and periodic maintenance control

1996 ◽  
Vol 23 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Eleftherios Iakovou ◽  
Chi M. Ip ◽  
Christos Koulamas
Keyword(s):  
Machining Economics ◽  
Periodic Maintenance ◽  
Phase Type

Optimization of Cutting Conditions for Surface Roughness in VMC 5-Axis

2019 ◽  
Vol 969 ◽  
pp. 631-636 ◽  
Author(s):  
Ramesh Rudrapati ◽  
Arun Patil
Keyword(s):  
Surface Roughness ◽  
Response Surface ◽  
Metal Cutting ◽  
Advanced Materials ◽  
Milling Parameters ◽  
Machining Center ◽  
Machining Economics ◽  
Parameters Selection ◽  
Quality Response ◽  
Five Axis

Vertical machining center (VMC) five-axis is advanced metal cutting process which used tomachine advanced materials for creating parts for industries like die, automotive, aerospace, machinerydesign, etc. Input parameters selection very important in VMC-five axis to obtain better surface finishon milled part and enhanced machining economics. In the present work, experimental analysis has beenplanned to study the significances of milling parameters on quality response, surface roughness (Ra) ofD3 steel. The experiments have been planned on D3 steel in VMC five axis as per Box-Behnken designof response surface methodology (RSM). Modeling and optimization have been done by hybrid RSMand Jaya optimization algorithm. The factor effects on Ra has been studied by analysis of signal-tonoise ratio. The concluding remarks has been drawn from the study

Correlation of the Volumetric Tool Wear Rate of Carbide Milling Inserts With the Material Removal Rate of Ti–6Al–4V

2015 ◽  
Vol 137 (2) ◽  
Author(s):  
Mathew Kuttolamadom ◽  
Parikshit Mehta ◽  
Laine Mears ◽  
Thomas Kurfess
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Tool Material ◽  
Feed Speed ◽  
Volumetric Wear ◽  
Machining Economics ◽  
Material Volume

The objective of this paper is to assess the correlation of volumetric tool wear (VTW) and wear rate of carbide tools on the material removal rate (MRR) of titanium alloys. A previously developed methodology for assessing the worn tool material volume is utilized for quantifying the VTW of carbide tools when machining Ti–6Al–4V. To capture the tool response, controlled milling experiments are conducted at suitable corner points of the recommended feed-speed design space, for constant stock material removal volumes. For each case, the tool material volume worn away, as well as the corresponding volumetric wear profile evolution in terms of a set of geometric coefficients, is quantified—these are then related to the MRR. Further, the volumetric wear rate and the M-ratio (volume of stock removed to VTW) which is a measure of the cutting tool efficiency, are related to the MRR—these provide a tool-life based optimal MRR for profitability. This work not only elevates tool wear from a 1D to 3D concept, but helps in assessing machining economics from a stock material-removal-efficiency perspective as well.

Fracture and Wear as Factors Affecting Stochastic Tool-Life Models and Machining Economics

1977 ◽  
Vol 99 (1) ◽  
pp. 281-286 ◽  
Author(s):  
S. Rossetto ◽  
R. Levi
Keyword(s):  
Failure Modes ◽  
Probabilistic Approach ◽  
Cutting Tools ◽  
Distribution Functions ◽  
Profit Rate ◽  
Tool Failure ◽  
Factors Affecting ◽  
Machining Economics ◽  
Fracture Processes ◽  
Production Conditions

Under production conditions cutting tools often fail under several failure modes, the occurrence of a single one only for a given operation being rather exceptional. In light of this observation a stochastic model is developed, considering as causes of tool failure both wear and fracture processes. Machining economics are then analyzed with a probabilistic approach, deriving distribution functions of profit rate.

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