Prediction of cutting tool wear during milling process using artificial intelligence techniques
An efficient tool condition monitoring system was designed for keyway milling of 7075-T6
hybrid aluminium alloy composite with resultant machining force and sound acquired while …
hybrid aluminium alloy composite with resultant machining force and sound acquired while …
Tool wear prediction in hard turning of EN8 steel using cutting force and surface roughness with artificial neural network
In this work, the flank wear of the cutting tool is predicted using artificial neural network
based on the responses of cutting force and surface roughness. EN8 steel is chosen as a …
based on the responses of cutting force and surface roughness. EN8 steel is chosen as a …
Review on sensor design for cutting force measurement
The measurement of cutting force is one of the key factors in determining the tool condition
and improving machine reliability. Therefore, the cutting force measurement becomes …
and improving machine reliability. Therefore, the cutting force measurement becomes …
Achieving machining effectiveness for AISI 1015 structural steel through coated inserts and grey-fuzzy coupled Taguchi optimization approach
Multi-objective optimization technique has become an essential step in the selection of
cutting parameters. The intension of this research study is to analyze the performance …
cutting parameters. The intension of this research study is to analyze the performance …
Tool condition monitoring while using vegetable based cutting fluids during milling of inconel 625
This investigation has designed a tool condition monitoring system (TCM) while milling of
Inconel 625 based on sound and vibration signatures. The experiments were carried out …
Inconel 625 based on sound and vibration signatures. The experiments were carried out …
Sustainable hard machining of AISI 304 stainless steel through TiAlN, AlTiN, and TiAlSiN coating and multi-criteria decision making using grey fuzzy coupled taguchi …
High strength, high ductility, low thermal conductivity and high work hardening effects of
austenitic stainless steels are the foremost factors that make their machinability difficult …
austenitic stainless steels are the foremost factors that make their machinability difficult …
Parameter optimization in wire electrical discharge machining using bio-inspired algorithms and response surface methodology
Wire electrical discharge machining (WEDM) is a highly regarded machining approach for
its exceptional accuracy and adaptability, there is a need to further enhance its performance …
its exceptional accuracy and adaptability, there is a need to further enhance its performance …
[PDF][PDF] Influence of vegetable based cutting fluids on cutting force and vibration signature during milling of aluminium metal matrix composites
Due to the environmental and health issues, there is an enormous requirement for
develo** the novel cutting fluids (CFs). The vegetable based cutting fluid (VBCFs) doesn't …
develo** the novel cutting fluids (CFs). The vegetable based cutting fluid (VBCFs) doesn't …
Tool condition monitoring in the milling process with vegetable based cutting fluids using vibration signatures
The major difficulty faced in a machining process is predicting the failure of cutting tools and
analyzing the stipulated time for tool replacement. The former and latter can be achieved …
analyzing the stipulated time for tool replacement. The former and latter can be achieved …
Multi-response optimization in drilling of MWCNTs reinforced GFRP using grey relational analysis
Sažetak The present work concentrates on the use of Grey Relational Analysis for optimizing
the drilling parameters like weight percentage of multi-wall carbon-nanotube (MWCNTs) …
the drilling parameters like weight percentage of multi-wall carbon-nanotube (MWCNTs) …