Results 21 to 30 of about 430,172 (298)

Tool-life and wear mechanisms of CBN tools in machining of Inconel 718 [PDF]

open access: yes, 2007
The demand for increasing productivity when machining heat resistant alloys has resulted in the use of new tool materials such as cubic boron nitride (CBN) or ceramics.
DESSOLY, Michel   +4 more
core   +1 more source

Pre-evaluation on surface profile in turning process based on cutting parameters [PDF]

open access: yes, 2009
Traditional online or in-process surface profile (quality) evaluation (prediction) needs to integrate cutting parameters and several in-process factors (vibration, machine dynamics, tool wear, etc) for high accuracy.
MA, Ning   +3 more
core   +1 more source

An Experimental Investigation of Hot Machining with Induction to Improve Ti-5553 Machinability [PDF]

open access: yes, 2011
The manufacturing of aeronautic parts with high mechanical properties requires the use of high performance materials. That’s why; new materials are used for landing gears such as the titanium alloy Ti-5553.
Julien Sallaberry   +9 more
core   +1 more source

Ultrasonic vibration assisted turning for reducing tool wear in metal matrix composite machining [PDF]

open access: yes, 2022
openIn automotive and aerospace industry there is a continuous research of materials with particular properties, as high specific strength, high specific stiffness, and wear resistance.
GHINATTI, EDOARDO
core  

Machinability Study of Developed Composite AA6061-ZrO2 and Analysis of Influence of MQL

open access: yesMetals, 2018
Aluminium metal matrix replaces high melting point and high density conventional materials, thus minimizing the usage of energy and supporting the environment. This work develops a low-weight, high-strength composite material with the help of AA 6061 and
S. Johny James, A. Raja Annamalai
doaj   +1 more source

Surface profile prediction and analysis applied to turning process [PDF]

open access: yes, 2008
An approach for the prediction of surface profile in turning process using Radial Basis Function (RBF) neural networks is presented. The input parameters of the RBF networks are cutting speed, depth of cut and feed rate.
LU, Chen, COSTES, Jean-Philippe
core   +1 more source

Investigation of the shape transferability of nanoscale multi-tip diamond tools in the diamond turning of nanostructures [PDF]

open access: yes, 2014
In this article, the shape transferability of using nanoscale multi-tip diamond tools in the diamond turning for scale-up manufacturing of nanostructures has been demonstrated.
Luo, Xichun, Tong, Zhen, Liang, Yingchun
core   +1 more source

Machine Learning Prediction of Turning Precision Using Optimized XGBoost Model

open access: yesApplied Sciences, 2022
The present study proposes a machine learning approach for optimizing turning parameters in such a way as to maximize the turning precision. The Taguchi method is first employed to optimize the turning parameters, and the experimental results are then ...
Cheng-Chi Wang   +2 more
doaj   +1 more source

Productivity and quality increasing in the blade machining of brittle materials through oscillating movements of the tool’s cutting edge

open access: yesИзвестия высших учебных заведений. Поволжский регион:Технические науки
Background. High-precision machining of brittle materials - such as optical glass and ceramics - entails a risk of brittle fracture of the surface layer when using traditional turning methods.
Aleksandr E. Obraztsov   +2 more
doaj   +1 more source

The study on force, surface integrity, tool life and chip on laser assisted machining of inconel 718 using Nd:YAG laser source

open access: yesJournal of Advanced Research, 2017
Inconel 718, a high-temperature alloy, is a promising material for high-performance aerospace gas turbine engines components. However, the machining of the alloy is difficult owing to immense shear strength, rapid work hardening rate during turning, and ...
K. Venkatesan
doaj   +1 more source

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