Dragan Rodic

About Dragan Rodic

Dragan Rodic, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Univerzitet u Novom Sadu, specializes in the field of Manufacturing engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

OPTIMIZATION SURFACE ROUGHNESS IN POWDER MIXED ELECTRICAL DISCHARGE MACHINING OF TITANIUM ALLOY.

Fuzzy Logic Approach to Predict Surface Roughness in Powder Mixed Electric Discharge Machining of Titanium Alloy

Analsys of defect layer in electrical discharge machining of non-conductive ceramic

Study and Optimization Defect Layer in Powder Mixed Electrical Discharge Machining of Titanium Alloy

A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters

Influence of pulse duration on surface roughness in assisting electrode electric discharge machining

Mathematical modelling of the CO2 laser cutting process using genetic programming

A gradient-based optimal control problem in creep-feed grinding

Dragan Rodic Information

University

Position

Faculty of Technical Sciences Department for Production Engineering

Citations(all)

638

Citations(since 2020)

469

Cited By

311

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

19

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Dragan Rodic Skills & Research Interests

Manufacturing engineering

Top articles of Dragan Rodic

OPTIMIZATION SURFACE ROUGHNESS IN POWDER MIXED ELECTRICAL DISCHARGE MACHINING OF TITANIUM ALLOY.

ACTA TECHNICA CORVINIENSIS - Bulletin of Engineering

2023

Fuzzy Logic Approach to Predict Surface Roughness in Powder Mixed Electric Discharge Machining of Titanium Alloy

Strojniški vestnik-Journal of Mechanical Engineering

2023/9/14

Analsys of defect layer in electrical discharge machining of non-conductive ceramic

Journal of Production Engineering

2023/7/19

Study and Optimization Defect Layer in Powder Mixed Electrical Discharge Machining of Titanium Alloy

Processes

2023/4/21

A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters

Applied Sciences

2022/12/8

Influence of pulse duration on surface roughness in assisting electrode electric discharge machining

Journal of Production Engineering

2022

Mathematical modelling of the CO2 laser cutting process using genetic programming

Facta Universitatis, Series: Mechanical Engineering

2022/11/30

A gradient-based optimal control problem in creep-feed grinding

The International Journal of Advanced Manufacturing Technology

2022/8

Effect of cutting parameters on surface roughness in turning of CPM 10V steel

Al-Qadisiyah Journal for Engineering Sciences

2016/12/28

Investigation an assisting electrode powder mixed electrical discharge machining of nonconductive ceramic

The International Journal of Advanced Manufacturing Technology

2022/2/1

Use of artificial intelligence anfis metod for determination of bracket debonding forces between two different adhesives

Journal of Environmental Protection and Ecology

2021

Fuzzy logic and sub-clustering approaches to predict main cutting force in high-pressure jet assisted turning

Journal of Intelligent Manufacturing

2021

Investigation of Functional Dependency between the Characteristics of the Machining Process and Flatness Error Measured on a CMM

Measurement Science Review

2021/12/1

Stability analysis of the inverse heat transfer problem in the optimization of the machining process

Applied Thermal Engineering

2021/8/1

Investigation of cutting and specific cutting energy in turning of POM-C using a PCD tool: Analysis and some optimization aspects

Journal of Cleaner Production

2021/6/20

Effect of cutting parameters on cutting forces in turning of CPM 10V Steel

Journal of Production Engineering

2021/12

An inverse optimization problem of heat transfer in the machining process–a review

Journal of Production Engineering

2021/6

Fuzzy inference system based prediction of electrical discharge machining quality

Tehnika

2021

Fuzzy model-based optimal energy control during the electrical discharge machining

Neural Computing and Applications

2020/4/21

Optimization of Cutting Parameters for Surface Roughness in the Ball-End Milling Process Using Genetic Algorithm

AIP Conference Proceedings

2019/7/30

See List of Professors in Dragan Rodic University(Univerzitet u Novom Sadu)