ANIL KUMAR GULIVINDALA
VIDWAN ID: 167609

Dr ANIL KUMAR GULIVINDALA

Male Doctor of Philosophy
Assistant Professor | Department of Mechanical Engineering
Lendi Institute of Engineering & Technology, Jonnada (V), Denkada mandal, PIN- 535005 (CC-KD)
Andhra Pradesh
Expertise: Mechanical Engineering
13 Publications
0 Projects
409 Scopus Citations
361 CrossRef
6 Years 3 Months Total Experience
Publications
13 Total
Articles
9
Chapters
2
Proceedings
2
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Scopus Scopus
409 Citations
8 h-index
CrossRef CrossRef
361 Citations
8 h-index
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Community & Membership

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Personal Details

Doctor of Philosophy
2023
National Institute of Technology, Warangal
Master of Technology
2017
N/A
Bachelor of Technology
2015
N/A
Assistant Professor
Jul 2024 – Present
Lendi Institute of Engineering & Technology, Jonnada (V), Denkada mandal, PIN- 535005 (CC-KD) | Department of Mechanical Engineering
Research Scholar
Jan 2019 – Jan 2022
National Institute of Technology Puducherry | Department of Mechanical Engineering
Junior Research Fellow
Aug 2017 – Jul 2018
GMR Institute of Technology | Department of Mechanical Engineering
Engineering and Technology
Mechanical Engineering

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Scholarly Work

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Scholarly Publications

A Design for Assembly Framework Based on Subassembly Detection Method

Conference Paper
Year: 2022. Pages: 511-519 .
Authors: V. S. S. Prasad; Anil Kumar Gulivindala; Sudhakar Uppada; Vykunta Rao Matta; M. V. A. Raju Bahubalendruni; B. B. Biswal

A modified cut-set method for mechanical subassembly identification

Journal Article
Assembly Automation. Year: 2021. Volume: 41 , Issue: 6 , Pages: 659-680 .
Authors: Anil Kumar Gulivindala; M.V.A. Raju Bahubalendruni; Anil Kumar Inkulu; S.S. Vara Prasad Varupala; SankaranarayanaSamy K.

Augmented reality-based guidance in product assembly and maintenance/repair perspective: A state of the art review on challenges and opportunities

Journal Article
Expert Systems with Applications. Year: 2023. Volume: 213 , Pages: 118983 .
Authors: Eswaran, M.; Gulivindala, A.K.; Inkulu, A.K.; Raju Bahubalendruni, M.V.A.

An Efficient Geometrical Feasibility Testing Method for Exploded View Generation to Perform Assembly Sequence Planning

Book Chapter
Year: 2021. Pages: 963-973 .
Authors: S. S. V. Prasad Varupala; Anil Kumar Gulivindala; M. V. A. Raju Bahubalendruni

Automated Disassembly Sequence Prediction for Industry 4.0 Using Enhanced Genetic Algorithm

Open Access
Journal Article
CMC-Computers, Materials & Continua. Year: 2021. Volume: 69 , Issue: 2 , Pages: 2531-2548 .
Authors: Anil Kumar Gulivindala; M. V. A. Raju Bahubalendruni; R. Chandrasekar; Ejaz Ahmed; Mustufa Haider Abidi; Abdulrahman Al-Ahmari

Exponential moving average modelled particle swarm optimization algorithm for efficient disassembly sequence planning towards practical feasibility

Journal Article
Year: 2021. Volume: 17 , Issue: 3 , Pages: 289 .
Authors: Anil Kumar Gulivindala; M.V.A. Raju Bahubalendruni; S.S.V. Prasad Varupala; and Chandrasekar Ravi

Practically feasible optimal assembly sequence planning with tool accessibility

Open Access
Conference Paper
IOP Conference Series: Materials Science and Engineering. Year: 2018. Volume: 390 , Pages: 012026 .
Authors: MVA Raju Bahubalendruni; Gulivindala Anil Kumar; K Madhu sudana sankar

A hybrid conjugated method for assembly sequence generation and explode view generation

Journal Article
Assembly Automation. Year: 2019. Volume: 39 , Issue: 1 , Pages: 211-225 .
Authors: M.V.A. Raju Bahubalendruni; Anil Gulivindala; Manish Kumar; Bibhuti Bhusan Biswal; Lakshumu Naidu Annepu
Showing 1 to 8 of 13 publications