Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing
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(FIVE YEARS 15)

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Published By Springer International Publishing

9783030700089, 9783030700096

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Comparative Analysis Between Conventional Method Versus Machine Learning Method for Pipeline Condition Prediction

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_6 ◽

2021 ◽

pp. 61-90

Author(s):

Firdaus Basheer ◽

Mohamed Saleem Nazmudeen ◽

Fadzliwati Mohiddin

Keyword(s):

Machine Learning ◽

Comparative Analysis ◽

Conventional Method ◽

Machine Learning Method ◽

Learning Method

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Smart Manufacturing—A Lead Way to Sustainable Manufacturing

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_1 ◽

2021 ◽

pp. 1-7

Author(s):

Elango Natarajan ◽

K. Palanikumar ◽

S. Ramesh

Keyword(s):

Sustainable Manufacturing ◽

Smart Manufacturing

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Cyber-Physical Systems: A Pilot Adoption in Manufacturing

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_13 ◽

2021 ◽

pp. 205-223

Author(s):

Srivardhini Veeraragavan ◽

Edwin Tong Jiann ◽

Regina Leong ◽

Veera Ragavan Sampath Kumar

Keyword(s):

Cyber Physical Systems ◽

Physical Systems

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Application of Back Propagation Algorithm in Optimization of Weave Friction Stir Welding—A Study

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_7 ◽

2021 ◽

pp. 91-127

Author(s):

M. Balasubramanian ◽

D. Jayabalakrishnan ◽

C. Hemadri ◽

B. Ashwin

Keyword(s):

Friction Stir Welding ◽

Back Propagation ◽

Back Propagation Algorithm ◽

Friction Stir ◽

Propagation Algorithm

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AR and VR in Manufacturing

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_11 ◽

2021 ◽

pp. 171-183

Author(s):

R. Dhanalakshmi ◽

Cherukuri Dwaraka Mai ◽

B. Latha ◽

N. Vijayaraghavan

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ANFIS and RSM Modelling Analysis on Surface Roughness of PB Composites in Drilling with HSS Drills

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_8 ◽

2021 ◽

pp. 129-144

Author(s):

T. N. Valarmathi ◽

K. Palanikumar ◽

S. Sekar ◽

B. Latha

Keyword(s):

Surface Roughness ◽

Modelling Analysis

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Intelligent Machining of Abrasive Jet on Carbon Fiber and Glass Fiber Polymeric Composites Using Modified Nozzle

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_14 ◽

2021 ◽

pp. 225-244

Author(s):

M. Balasubramanian ◽

S. Madhu ◽

C. Hemadri

Keyword(s):

Carbon Fiber ◽

Glass Fiber ◽

Polymeric Composites ◽

Intelligent Machining

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Optimization and Effect Analysis of Sustainable Micro Electrochemical Machining Using Organic Electrolyte

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_4 ◽

2021 ◽

pp. 33-46

Author(s):

V. Subburam ◽

S. Ramesh ◽

Lidio Inacio Freitas

Keyword(s):

Electrochemical Machining ◽

Organic Electrolyte ◽

Effect Analysis

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Machine Learning for Smart Manufacturing for Healthcare Applications

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_9 ◽

2021 ◽

pp. 145-158

Author(s):

Nivesh Gadipudi ◽

I. Elamvazuthi ◽

S. Parasuraman ◽

Alberto Borboni

Keyword(s):

Machine Learning ◽

Smart Manufacturing ◽

Healthcare Applications

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Artificial Fish Swarm Algorithm Driven Optimization for Copper-Nano Particles Suspended Sodium Nitrate Electrolyte Enabled ECM on Die Tool Steel

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing ◽

10.1007/978-3-030-70009-6_5 ◽

2021 ◽

pp. 47-60

Author(s):

T. Sekar ◽

V. Sathiyamoorthy ◽

K. Muthusamy ◽

A. Sivakumar ◽

S. Balamurugan

Keyword(s):

Tool Steel ◽

Sodium Nitrate ◽

Nano Particles ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent ManufacturingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Comparative Analysis Between Conventional Method Versus Machine Learning Method for Pipeline Condition Prediction

Smart Manufacturing—A Lead Way to Sustainable Manufacturing

Cyber-Physical Systems: A Pilot Adoption in Manufacturing

Application of Back Propagation Algorithm in Optimization of Weave Friction Stir Welding—A Study

AR and VR in Manufacturing

ANFIS and RSM Modelling Analysis on Surface Roughness of PB Composites in Drilling with HSS Drills

Intelligent Machining of Abrasive Jet on Carbon Fiber and Glass Fiber Polymeric Composites Using Modified Nozzle

Optimization and Effect Analysis of Sustainable Micro Electrochemical Machining Using Organic Electrolyte

Machine Learning for Smart Manufacturing for Healthcare Applications

Artificial Fish Swarm Algorithm Driven Optimization for Copper-Nano Particles Suspended Sodium Nitrate Electrolyte Enabled ECM on Die Tool Steel

Materials Forming, Machining and Tribology - Futuristic Trends in Intelligent Manufacturing
Latest Publications