Results 191 to 200 of about 52,330 (275)

Optimizing Tensile Strength of Low-Carbon Steel Shafts with Stacked Ring Substrates in WAAM Using Taguchi and Random Forest Regression. [PDF]

Materials (Basel)
Nguyen VM, Minh PS, Vo MH.
europepmc   +1 more source

Multiple performance optimization of electrochemical drilling of Inconel 625 using Taguchi based Grey Relational Analysis

, 2016
N. Manikandan, S. Kumanan, C. Sathiyanarayanan   +2 more
openalex   +1 more source

Multi response optimization in MQL milling of GTD450 stainless steel using an integrated Taguchi grey relational analysis. [PDF]

Sci Rep
Saberi M, Niknam SA, Hajaliakbari A, Davoodi B, Hashemi R.   +4 more
europepmc   +1 more source

OPTIMIZING THE EFFECT OF ADDITION OF MA-G-PE COMPATIBILIZER ON TWO-BODY ABRASIVE WEAR BEHAVIOR OF EVA/HDPE POLYMER BLEND USING TAGUCHI AND ANOVA

, 2016

openalex   +1 more source

Optimization of EDM parameters for enhanced machining of X37CrMoV5-1 tool steel using taguchi method and regression analysis. [PDF]

Sci Rep
Surani K, Patel H, Sonawane C, Chan CK, Dixit S, Singh S, Mumtaz MA.   +6 more
europepmc   +1 more source

Application of Taguchi Grey-Based ANFIS model for prediction of process parameters in fused deposition modelling of PETG. [PDF]

Sci Rep
Thejasree P, Manikandan N, Rajesh N, Lokanadham R, Krishnamachary PC, Shubham K, Olaiya BC.   +6 more
europepmc   +1 more source

Multi-response optimization of PETG FDM parameters using taguchi-grey relational analysis and perdition by regression modeling. [PDF]

Sci Rep
Thejasree P, Manikandan N, Rajesh N, Lokanadham R, Krishnamachary PC, Shubham K, Sembeta RY.   +6 more
europepmc   +1 more source

Investigation on Mechanical Properties of Functional Graded Hybrid TPMS Structures Inspired Bone Scaffolds. [PDF]

Polymers (Basel)
Karamanli İA.
europepmc   +1 more source

Taguchi-Based Six Sigma Approach To Optimize Surface Roughness For Milling Processes

, 2017
Sky Chou, Joseph C. Chen
openalex   +1 more source

A new method based on AVOA-optimized support vector machine for predicting performance characterisitcs during turning aluminium 7068 under graphene nanofluid. [PDF]

Sci Rep
Shrotriya A, Nayak C, Patel G, Khan MI, Pathak VK.   +4 more
europepmc   +1 more source