Results 31 to 40 of about 43,039 (317)
Optimization machining parameters in pocket milling using genetic algorithm and mastercam [PDF]
, 2023 Selection of the optimum machining parameters is essential to enhance the performance of the machining process. These parameters will determine the quality of surface finish, rate of tool wear, material removal rate and production cycle time.
Isa, Nurshafinaz +2 more
core
Prediction of Machining Conditions from EDMed Surface Using CNN [PDF]
한국정밀공학회지CNN is one of the deep learning technologies useful for image-based pattern recognition and classification. For machining processes, this technique can be used to predict machining parameters and surface roughness. In electrical discharge machining (EDM),
Ji Hyo Lee +3 more
doaj +1 more source
International Journal of Lightweight Materials and Manufacture, 2021 Turning operation is one of the primary machining operations and enhanced machining performance is obtained by its process parameters. In turning process, heat is generated and it must be removed from the machining zone. Now a days, hydrocarbon oil based
S. Devaraj +2 more
doaj +1 more source
Exploration of parameter spaces assisted by machine learning
Computer Physics Communications, 2023 30 pages, 9 figures. Matches published version.
Ahmed Hammad +3 more
openaire +2 more sources
Optimization of Machining Efficiency for Hole-Series in Marine Diesel Engine Blocks Based on FASSA
Applied SciencesAs global competition intensifies and manufacturing industry demands for efficient production increase, how to shorten lead time while ensuring product quality becomes an important challenge for enterprises. Aiming at the key machining characteristics of
Dongyue Qu +5 more
doaj +1 more source
Optimizing Machining Parameters of Compound Machining of Inconel718
Procedia CIRP, 2016 Abstract The compound machining (CM) compounded with electrical discharge machining (EDM) and arc machining is a novel approach to process difficult-to-machine materials especially for the aerospace materials such as Inconel718. An exciting material removal rate (MRR) and a small diameter of overcut (DOC) can be received in this approach.
Dong, H., Liu, Y., Shen, Y., Wang, X.
openaire +1 more source
Influence of machining parameters on dynamic errors in a hexapod machining cell
The International Journal of Advanced Manufacturing Technology, 2023 Abstract Dynamic errors from the robotic machining process can negatively impact the accuracy of manufactured parts. Currently, effectively reducing dynamic errors in robotic machining remains a challenge due to the incomplete understanding of the relations hip between machining parameters and dynamic errors, especially for hexapod machining ...
Kanglin Xing +3 more
openaire +1 more source
Influence of cutting process mechanics on surface integrity and electrochemical behavior of OFHC copper [PDF]
, 2014 The authors gratefully acknowledge the support received from IC ARTS and CEA ValducSuperfinishing machining has a particular impact on cutting mechanics, surface integrity and local electrochemical behavior.
Guillaume Fromentin +10 more
core +1 more source
Surface profile prediction and analysis applied to turning process [PDF]
, 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
Performance evaluation of ultrasonic abrasive machining by analysis of variance
Nihon Kikai Gakkai ronbunshu, 2021 Ultrasonic abrasive machining is a machining method in which an ultrasonically-vibrated tool presses the workpiece via free abrasive grains and induces hammering motion of free abrasives.
Yuta KASUYA +4 more
doaj +1 more source