Artificial intelligence systems for tool condition monitoring in machining: Analysis and critical review
The wear of cutting tools, cutting force determination, surface roughness variations and other
machining responses are of keen interest to latest researchers. The variations of these …
machining responses are of keen interest to latest researchers. The variations of these …
Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
Influence of duplex jets MQL and nano-MQL cooling system on machining performance of Nimonic 80A
Nickel based super alloys are considered as difficult to machine materials. These days, the
sustainable cooling system are applied at the cutting zone for enhancing the machining …
sustainable cooling system are applied at the cutting zone for enhancing the machining …
Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models
During milling operations, wear of cutting tool is inevitable; therefore, tool condition
monitoring is essential. One of the difficulties in detecting the state of milling tools is that they …
monitoring is essential. One of the difficulties in detecting the state of milling tools is that they …
[HTML][HTML] Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends
This review paper summarizes the application of smart manufacturing systems utilized in
drilling and hole machining processes. In this perspective, prominent sensors such as …
drilling and hole machining processes. In this perspective, prominent sensors such as …
[HTML][HTML] Carbon emissions and overall sustainability assessment in eco-friendly machining of Monel-400 alloy
With increasing regulations about global warming, environmental pollution, and climate
change, reducing carbon emissions from energy-intensive industrial activities routes to …
change, reducing carbon emissions from energy-intensive industrial activities routes to …
Prediction of surface roughness using machine learning approach in MQL turning of AISI 304 steel by varying nanoparticle size in the cutting fluid
Surface roughness is considered as an important measuring parameter in the machining
industry that aids in ensuring the quality of the finished product. In turning operations, the …
industry that aids in ensuring the quality of the finished product. In turning operations, the …
Resource savings by sustainability assessment and energy modelling methods in mechanical machining process: A critical review
In machining processes, there are contradictions between high efficiency and
environmentally-friendly machining. This indicated that there is a major potential for …
environmentally-friendly machining. This indicated that there is a major potential for …
Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting …
C Kubik, SM Knauer, P Groche - Journal of Intelligent Manufacturing, 2022 - Springer
In consequence of high cost pressure and the progressive globalization of markets,
blanking, which represents the most economical process in the value chain of manufacturing …
blanking, which represents the most economical process in the value chain of manufacturing …
Predicting the compressive strength of additively manufactured PLA‐based orthopedic bone screws: A machine learning framework
Additive manufacturing (AM) technology is an innovative technique that has shown potential
in several surgical innovations such as the fabrication of cost‐effective orthopedic screws. It …
in several surgical innovations such as the fabrication of cost‐effective orthopedic screws. It …