Results 41 to 50 of about 220,051 (174)

Performance Analysis of Helical Milling and Drilling Operations While Machining Carbon Fiber-Reinforced Aluminum Laminates

open access: yesJournal of Manufacturing and Materials Processing
Being a difficult-to-cut material, Fiber Metal Laminates (FML) often pose challenges during conventional drilling and require judicious selection of machining parameters to ensure defect-free laminates that can serve reliably during their service ...
Gururaj Bolar   +5 more
doaj   +1 more source

Surface roughness variation of thin wall milling, related to modal interactions [PDF]

open access: yes, 2008
High-speed milling operations of thin walls are often limited by the so-called regenerative effect that causes poor surface finish. The aim of this paper is to examine the link between chatter instability and surface roughness evolution for thin wall ...
Arnaud, Lionel   +2 more
core   +1 more source

A Metaheuristic Optimization Algorithm for energy efficiency in Digital Twins

open access: yesInternet of Things and Cyber-Physical Systems, 2022
This work aims to study the role of Digital Twins (DTs) technology combined with the Metaheuristic Optimization Algorithm in manufacturing energy efficiency optimization.
Rui Chen, Hai Shen, Yi Lai
doaj   +1 more source

Investigation of tool geometry effect and penetration strategies on cutting forces during thread milling [PDF]

open access: yes, 2014
The application of thread milling is increasing in industry because of its inherent advantages over other thread cutting techniques. The objective of this study is to investigate the effect of milling cutter tool geometry on cutting forces during thread ...
Sharma, Vishal S.   +4 more
core  

Analysis and Prediction of Micromilling Stability with Variable Tool Geometry

open access: yesAdvances in Mechanical Engineering, 2014
Micromilling can fabricate miniaturized components using micro-end mill at high rotational speeds. The analysis of machining stability in micromilling plays an important role in characterizing the cutting process, estimating the tool life, and optimizing
Ziyang Cao, Hua Li, Zhen Yin, Wei Liu
doaj   +1 more source

Machinability analysis on helical milling of carbon fiber reinforced polymer

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2015
In the helical milling process, a rotating tool traverses a helical trajectory to generate a hole. In order to investigate the cutting state in helical milling of carbon fiber reinforced polymer(CFRP), experiments were conducted with unidirectional and ...
Haiyan WANG, Xuda QIN, Hao LI
doaj   +1 more source

The analysis of cutting forces for hardened steel milling

open access: yesОмский научный вестник, 2023
Micro milling is a widely used manufacturing method. The main purpose of this study is to analyze the cutting forces in corrosion-resistant, heat-resistant steel 14Kh17N2.
D. S. Makashin
doaj   +1 more source

Dynamic analysis of runout correction in milling [PDF]

open access: yes, 2010
Tool runout and its effects is an important area of research within modelling, simulation, and control of milling forces. Tool runout causes tool cutting edges to experience uneven forces during milling.
Guzman Villaseñor, Mario   +3 more
core   +1 more source

The Comparative Study on Cutting Performance of Different-Structure Milling Cutters in Machining CFRP

open access: yesApplied Sciences, 2018
Carbon fiber reinforced plastic (CFRP) is typically hard to process, because it is easy for it to generate processing damage such as burrs, tears, delamination, and so on in the machining process. Consequently, this restricts its wide spread application.
Tao Chen, Fei Gao, Suyan Li, Xianli Liu
doaj   +1 more source

Artificial Neural Network System for Predicting Cutting Forces in Helical-End Milling of Laser-Deposited Metal Materials

open access: yesTehnički Glasnik, 2023
When machining difficult-to-cut metal materials often used to make sheet metal forming tools, excessive cutting force jumps often break the cutting edge. Therefore, this research developed a system of three neural network models to accurately predict the
Uroš Župerl, Miha Kovačič
doaj   +1 more source

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