Concepedia

Author

H. Ramakrishnan

Newcastle University

Also Known As

H Ramakrishnan, H. RAMAKRISHNAN, H. Ramakrishnan, Hiran K. Ramakrishnan, Hiran Ramakrishnan

23

Publications

230

Citations

9

H-Index

43

Concepts

All Affiliations

Newcastle UniversityUniversity of Calcutta
HR

About

H. Ramakrishnan is an author at Newcastle University specializing in engineering, mechanical engineering, and electrical engineering.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

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8

173

2

Electrical Engineering

5

5

91

3

Business

2

2

23

4

Computer Engineering

2

2

23

5

Applied Physics

1

1

17

H. Ramakrishnan

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9

Publications

183

Citations

9

H-Index

YearCitations

Experimental investigation of cut quality characteristics on SS321 using plasma arc cutting

H. Ramakrishnan, R. Balasundaram, N. Shankar Ganesh,

Journal of the Brazilian Society of Mechanical Sciences and Engineering

2018

38

Study on Optimization of WEDM Process Parameters on Stainless Steel

K. Natarajan, H. Ramakrishnan, Amel Gacem,

Journal of Nanomaterials

2022

38

Investigation of surface roughness and material removal rate of WEDM of SS304 using ANOVA and regression models

D. Srinivasan, N. Ganesh, Jafrey Daniel James D,

Surface Topography Metrology and Properties

2022

25

Experimental investigation of turning Al 7075 using Al2O3 nano-cutting fluid: ANOVA and TOPSIS approach

H. Ramakrishnan, R. Balasundaram, P. Ravi Selvaganapathy,

SN Applied Sciences

2019

19

Modeling of the Threshold Voltage in Strained $\hbox{Si/Si}_{1 - x} \hbox{Ge}_{x}/\hbox{Si}_{1 - y}\hbox{Ge}_{y}(x \geq y)$ CMOS Architectures

Parker Y. L. Tsang, Sanatan Chattopadhyay, Suresh Uppal,

IEEE Transactions on Electron Devices

2007

17

Experimental Investigation and Optimization by Evaluation Based on Distance from Average Solution Approach for Wire Electrical Discharge Machining of Super Duplex Stainless Steels

Jafrey Daniel James D, H. Ramakrishnan, Karthik Pandiyan G,

Journal of Materials Engineering and Performance

2023

13

Statistical modelling of the variation in advanced process technologies using a multi-level partitioned response surface approach

S. Shedabale, H. Ramakrishnan, G. Russell,

IET Circuits Devices & Systems

2008

12

Analysing the effect of process variation to reduce parametric yield loss

H. Ramakrishnan, S. Shedabale, G. Russell,

2008

11

Experimental investigation of process parameters for pack boronizing of SS410 using anova and machine learning approaches

H. Ramakrishnan, R. Balasundaram

Surface Topography Metrology and Properties

2021

10

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