M V A Raju Bahubalendruni

Prof. Dr. M V A Raju Bahubalendruni

national institute of technology puducherry
+1
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 August 2021 in Industrial Robot: the international journal of robotics research and application
Verified
Journal Article
Closed access
AIAnil Kumar Inkulu
Anil Kumar Inkulu
MBM V A Raju Bahubalendruni
M V A Raju Bahubalendruni
ADAshok Dara
Ashok Dara
SKSankaranarayanaSamy K.
SankaranarayanaSamy K.
Purpose: In the present era of Industry 4.0, the manufacturing automation is moving toward mass production and mass customization through human–robot collaboration. The purpose of this paper is to describe various human–robot collaborative (HRC) techniques and their applicability for various manufacturing methods along with key challenges. Design/methodology/approach: Numerous recent relevant research literature has been analyzed, and various human–robot interaction methods have been identified, and detailed discussions are made on one- and two-way human–robot collaboration. Findings: The challenges in implementing human–robot collaboration for various manufacturing process and the challenges in one- and two-way collaboration between human and robot are found and discussed. Originality/value: The authors have attempted to classify the HRC techniques and demonstrated the challenges in different modes.

27 April 2015 in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Verified
Journal Article
Closed access
MBM V A Raju Bahubalendruni
M V A Raju Bahubalendruni
BBBibhuti Bhusan Biswal
Bibhuti Bhusan Biswal
Sequence of feasible mechanical assembly operations plays significant role in overall cost optimisation process for manufacturing industry and thus great importance is given to assembly sequence generation from past four decades. Though achieving at least one feasible sequence is focused in the earlier stages of research, the introduction of soft computing techniques attracted the industrial engineers towards cost-effective, optimised assembly sequences to attain economical manufacturing process. The integration of assembly sequence generation methods with computer aided design environment ensures more correctness and flexibility to automate the process. In this paper, a detailed review on various methods, their applications and limitations is presented and well discussed.

18 April 2022 in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Verified
Journal Article
Closed access
DADara Ashok
Dara Ashok
MBM V A Raju Bahubalendruni
M V A Raju Bahubalendruni
AMA. Johnney Mertens
A. Johnney Mertens
BGBalamurali Gunji
Balamurali Gunji
Energy absorption is a key performance criterion for several engineering structures. Lightweight lattice structures are better suited for this purpose. The convolute design patterns that exist in nature are proven effective for several engineering applications. In this paper, a George lily flower leaf is considered to build a novel 3D open lattice pattern for specific energy absorption (SEA) purposes. A multi-cellular specimen is designed and fabricated using Vat photopolymerization 3D printing process. Quasi-static compression tests have been conducted and the performance of proposed structure is compared with 2.5D closed thin-walled structures and found the proposed 3D open lattice structure has shown significant improvement in SEA over other thin-walled structures.

17 August 2021 in Journal of Bio- and Tribo-Corrosion
Verified
Journal Article
Closed access
PDF file
CBChintada Vinod babu
Chintada Vinod babu
RKRamji Koona
Ramji Koona
MBM V A Raju Bahubalendruni
M V A Raju Bahubalendruni

20 December 2014 in Neural Computing and Applications
Verified
Journal Article
Closed access
PDF file
BPBiranchi Panda
Biranchi Panda
MBM V A Raju Bahubalendruni
M V A Raju Bahubalendruni
BBBibhuti Bhusan Biswal
Bibhuti Bhusan Biswal

29 March 2018 in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Verified
Journal Article
Closed access
BDB B V L Deepak
B B V L Deepak
BGBalamurali Gunji
Balamurali Gunji
MBM V A Raju Bahubalendruni
M V A Raju Bahubalendruni
BBBb Biswal
Bb Biswal
The implementation of artificial intelligence techniques is increasing rapidly in recent years to solve numerous engineering problems. Assembly sequence planning is one of the prominent complex combinatorial problem draw attention of industrial engineers to economize the overall manufacturing cost by minimizing the assembly time and energy. Due to large search space and multiple assembly predicate criteria, researchers are motivated towards efficient utilization of AI techniques to address the problem. Literature review on various artificial intelligence techniques for obtaining the optimal assembly sequence planning are analyzed and the limitations of the existed methodologies are discussed in detail. This review provides an outlook for the researchers on various artificial intell1igent techniques which will be useful to carry out research for obtaining the optimum assembly sequence planning while qualifying various assembly predicate criteria.