Vishal Gulati is currently Professor in Mechanical Engineering Department at GJ University of Science and Technology, Hisar, India. He completed his Bachelor in Mechanical Engineering in 1998, Master in Mechanical Engineering in 2003 from Regional Engineering College, Kurukshetra (now, NIT Kurukshetra) and Ph.D. in 2009 from National Institute of Technology, Kurukshetra. He has 24+ years of teaching and research experience. He has published 60+ research papers in various journals of repute and national/international conference proceedings. He has organized a number of Faculty Development Programmes, workshops, and seminars. He has attended and presented 25 papers in different conferences. He has supervised 03 Ph.D. He has also supervised 40+ M. Tech. students for their dissertations. His areas of interest include CAD/CAM, Product Design and development, Incremental Sheet Forming etc. He has membership of various professional societies like Institution of Engineers (India), ISTE.
EDUCATION
Professor/ Dr./ Mechanical Engineering Department, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, India
RESEARCH, TEACHING, or OTHER INTERESTS
Mechanical Engineering, Computer Graphics and Computer-Aided Design
Predictive and experimental analysis of forces in die-less forming using artificial intelligence techniques Ajay Kumar, Virendra Kumar Shrivastava, Parveen Kumar, Ashwini Kumar, Vishal Gulati Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2024 The use of a novel technology for producing the components of lightweight materials and to reduce the requirements of power utilized during manufacturing processes can be a great aspect to decrease pollution and save resources. Single point incremental forming (SPIF) is the viable and novel approach for manufacturing the parts of high strength and lightweight materials without involving dedicated tools and dies economically. This die-less forming technique outperforms the conventional forming techniques by saving the energy and materials. In this work, the estimation and investigation of forming forces have been accomplished to ensure the secure uses for the SPIF machines for performing this process for the designed conditions on AA2024 sheets which is a lightweight aluminum alloy being widely used in aerospace and automotive sectors. To predict the peak deforming load, machine learning (ML) techniques are employed in the current work along with the artificial neural network (ANN) by taking experimental results as the input dataset. The proposed ML model revealed better accuracy (99%) than previous work performed using similar approaches. The proposed ANN model produced lower mean absolute percentage error 4.35 as compared to other models. Authors also calculated the computing time taken during estimation of forming force. Combination of the Flatend-R1 tool and the 1.6 mm blank thickness increased the deforming loads drastically and can become the limiting factor for forming machine which should be avoided whereas the combination of hemispherical tool and lower blank thickness (0.5 mm) reduced the deforming loads that are needed to manufacture the conical frustum. It was also noticed that as the tool shape was changed from hemispherical-end to Flatend-R1, the axial peak forces were increased by 13.16%, 16.59%, 20.43%, and 22.78% for the levels 1, 2, 3, and 4 of the blank thickness, respectively.
Preface Handbook of Flexible and Smart Sheet Forming Techniques Industry 4 0 Approaches, 2023
Influence of thermal and pH cycles on surface characteristics lithium disilicate glass-ceramic dental crowns milled with CAD/CAM process Yajvinder Singh, Vishal Gulati World Journal of Engineering, 2022 PurposeThe paper aims to evaluate the influence of thermo-chemical cycles of oral fluids on the surface attributes (roughness and microhardness) of lithium disilicate glass-ceramic (LDC) crown restorations manufactured with CAD/CAM technology.Design/methodology/approachThere have been 24 LDC crowns manufactured using the CAD/CAM process for their respective preparation dies ply methyl methacrylate (PMMA) of mandibular left second premolar tooth (n= 8 each group). The standard procedure was used to glaze 16 crown samples (Groups 2 and 3).Samples of Group 3 were aged with thermal (563°C and 5563°C) and pH (2–14) cycles. All 24 samples were tested with a Profilometer and a Vicker hardness tester was used for their surface roughness and hardness measurement, respectively.FindingsIn statistical examination on SPSS Statistics 20 (IBM) software, of surface roughness values (Ra) and Vicker hardness values from different groups, Tukey HSD test was executed in one-way ANOVA (a= 0.05). The means Ra for groups were accordingly Group 3 > Group1 > Group 2 (p< 0.001). Similarly, micro-hardness was in order of Group 2 > Group 1 > Group 3 (p< 0.001).Research limitations/implicationsThe research work does not have any limitations.Originality/valueSurrounding temperature and pH significantly impact the surface characteristics of lithium disilicate crown restoration. The study also reveals the inverse relationship between surface roughness and surface hardness parameters. The observed results and facts revealed well in agreement with the past research studies.
Evaluation of Influence of Finish line Design on Marginal Discrepancy of All-ceramics Lithium disilicate Crown restorations using μ-CT Yajvinder, Vishal Gulati, Ashish Agrawal, Balwant Singh Iop Conference Series Materials Science and Engineering, 2020 Purpose of this study was to evaluate influence of finish line design on marginal discrepancies of lithium disilicate crown restoration fabricated with CAD/CAM. 24 crown restorations (n=8 each group) were designed with three different finish lines: Shoulder finish line (SFLC), Round Shoulder finish line (RSFLC) and Deep Chamfer finish line. All dies were prepared with additive manufacturing whereas crowns were fabricated with CAD/CAM using these preparations. After fixation, restorations were scanned using SRμCT and obtained reconstructed 2D slices were used to measure marginal discrepancy (MD) and absolute marginal discrepancy (AMD) at four sites (buccal, lingual, mesial and distal) of each specimen with the help of Image J software. Finally, recorded data was analyzed by one way ANOVA and Tukey’s test. The mean marginal discrepancies (MD±SD) for three groups were as follow: SFLC (91.6 ±3.5), RSFLC (72.8 ±3.9) and DCFLC (65.9 ±5.2) whereas Mean absolute marginal discrepancies (AMD±SD) were as follow: SFLC (104.4 ±6.8), RSFLC (85.5 ±3.5) and DCFLC (78.7 ±5.3). According to results, marginal discrepancies as well as absolute marginal discrepancies of SFLC group were significantly higher than those of RSFLC and DCFLC groups. After all, MDs and AMDs of all three groups were below clinical acceptable value. For allceramics restorations, marginal discrepancies of lithium dislicate crown restorations were below clinical acceptable range and restorations designed with RSFLC and DCFLC demonstrated superior results compared to preparations designed with SFLC.
Optimization and investigation of process parameters in single point incremental forming Indian Journal of Engineering and Materials Sciences, 2020
A linguistic approach for modelling the two and half dimensional components Journal of the Institution of Engineers India Part CP Computer Engineering Division, 2006
RECENT SCHOLAR PUBLICATIONS
System and method for securing indirect memory accesses V Singh, N Tiwari, V Gulati US Patent 12,450,176 , 2025 2025
Correction to: a comprehensive review on heat-assisted incremental sheet forming A Kumar, G Jee Mishra, V Gulati, AK Srivastava, P Kumar, V Kumar, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (2 … , 2025 2025 Citations: 4
A comprehensive review on heat-assisted incremental sheet forming A Kumar, GJ Mishra, V Gulati, AK Srivastava, P Kumar, V Kumar, V Goyat International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (6 … , 2024 2024 Citations: 9
Predictive and experimental analysis of forces in die-less forming using artificial intelligence techniques A Kumar, VK Shrivastava, P Kumar, A Kumar, V Gulati Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2024 2024 Citations: 37
Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Approaches PKS Ajay Kumar, Parveen Kumar, Hari Singh, Vishal Gulati 2023 Citations: 5
Influence of thermal and pH cycles on surface characteristics lithium disilicate glass-ceramic dental crowns milled with CAD/CAM process Y Singh, V Gulati World Journal of Engineering 19 (3), 395-401 , 2022 2022 Citations: 2
A Knowledge-Based CAD Modeling Paradigm for Indian Traditional Filigree Jewelry. S Mathur, V Gulati Computer-Aided Design & Applications 19 (2) , 2022 2022 Citations: 1
A framework to produce customized degree of projection in digital relief carving S Mathur, V Gulati Materials Today: Proceedings 56, 3642-3647 , 2022 2022 Citations: 1
Design and development of ‘Mehndi’applicator S Mathur, V Gulati Materials Today: Proceedings 56, 36-42 , 2022 2022
Impact of Step Size, Spindle Speed and Sheet Thickness on Forming Force in SPIF A Kumar, P Kumar, V Gulati, Y Singh, V Singh, RK Mittal Advances in Industrial and Production Engineering: Select Proceedings of … , 2021 2021 Citations: 2
The Influence of Total Convergence of Abutment and Cement Layer Thickness on Marginal Adaptation of Lithium Disilicate Glass-Ceramic Crown Restorations Manufactured by CAD/CAM Y Singh, V Gulati Solid State Technology 63 (5), 10411-10418 , 2020 2020
Evaluation of Influence of Finish line Design on Marginal Discrepancy of All-ceramics Lithium disilicate Crown restorations using μ-CT Yajvinder, V Gulati, A Agrawal, B Singh IOP Conference Series: Materials Science and Engineering 802 (1), 012003 , 2020 2020 Citations: 2
Optimization and investigation of process parameters in single point incremental forming A Kumar, V Gulati Indian Journal of Engineering and Materials Sciences (IJEMS) 27 (2), 246-255 , 2020 2020 Citations: 45
Parametric investigation of forming forces in single point incremental forming A Kumar, V Gulati, P Kumar, H Singh, V Singh, S Kumar, A Haleem Materials Today: Proceedings 24, 611-617 , 2020 2020 Citations: 32
Implementation of Micro CT in CAD/CAM dentistry for image processing and soft computing: a review Yajvinder, V Gulati Journal of Physics: Conference Series 1432 (1), 012079 , 2020 2020 Citations: 8
Forming force in incremental sheet forming: a comparative analysis of the state of the art A Kumar, V Gulati, P Kumar, H Singh Journal of the Brazilian Society of Mechanical Sciences and Engineering 41 … , 2019 2019 Citations: 96
Experimental investigation of forming forces in single point incremental forming A Kumar, V Gulati, P Kumar Advances in Industrial and Production Engineering: Select Proceedings of … , 2019 2019 Citations: 27
Parametric effects on formability of AA2024-O aluminum alloy sheets in single point incremental forming A Kumar, V Gulati, P Kumar, V Singh, B Kumar, H Singh Journal of Materials Research and Technology 8 (1), 1461-1469 , 2019 2019 Citations: 126
Experimental investigation and optimization of surface roughness in negative incremental forming A Kumar, V Gulati Measurement 131, 419-430 , 2019 2019 Citations: 92
Experimental investigations and optimization of forming force in incremental sheet forming A Kumar, V Gulati Sādhanā 43 (10), 159 , 2018 2018 Citations: 76
MOST CITED SCHOLAR PUBLICATIONS
Frailty is associated with longer hospital stay and increased mortality in hospitalized older patients D Khandelwal, A Goel, U Kumar, V Gulati, R Narang, AB Dey The journal of nutrition, health & aging 16 (8), 732-735 , 2012 2012 Citations: 264
Parametric effects on formability of AA2024-O aluminum alloy sheets in single point incremental forming A Kumar, V Gulati, P Kumar, V Singh, B Kumar, H Singh Journal of Materials Research and Technology 8 (1), 1461-1469 , 2019 2019 Citations: 126
Forming force in incremental sheet forming: a comparative analysis of the state of the art A Kumar, V Gulati, P Kumar, H Singh Journal of the Brazilian Society of Mechanical Sciences and Engineering 41 … , 2019 2019 Citations: 96
Experimental investigation and optimization of surface roughness in negative incremental forming A Kumar, V Gulati Measurement 131, 419-430 , 2019 2019 Citations: 92
Process parameters optimization in single point incremental forming V Gulati, A Aryal, P Katyal, A Goswami Journal of the Institution of Engineers (india): Series C 97 (2), 185-193 , 2016 2016 Citations: 90
Experimental investigations and optimization of forming force in incremental sheet forming A Kumar, V Gulati Sādhanā 43 (10), 159 , 2018 2018 Citations: 76
Investigation of surface roughness in incremental sheet forming A Kumar, V Gulati, P Kumar Procedia computer science 133, 1014-1020 , 2018 2018 Citations: 71
Investigation of process variables on forming forces in incremental sheet forming A Kumar, V Gulati, P Kumar Int J Eng Technol 10 (3), 680-684 , 2018 2018 Citations: 54
Effects of process parameters on surface roughness in incremental sheet forming A Kumar, V Gulati, P Kumar Materials Today: Proceedings 5 (14), 28026-28032 , 2018 2018 Citations: 47
Optimization and investigation of process parameters in single point incremental forming A Kumar, V Gulati Indian Journal of Engineering and Materials Sciences (IJEMS) 27 (2), 246-255 , 2020 2020 Citations: 45
Predictive and experimental analysis of forces in die-less forming using artificial intelligence techniques A Kumar, VK Shrivastava, P Kumar, A Kumar, V Gulati Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2024 2024 Citations: 37
Parametric investigation of forming forces in single point incremental forming A Kumar, V Gulati, P Kumar, H Singh, V Singh, S Kumar, A Haleem Materials Today: Proceedings 24, 611-617 , 2020 2020 Citations: 32
Experimental investigation of forming forces in single point incremental forming A Kumar, V Gulati, P Kumar Advances in Industrial and Production Engineering: Select Proceedings of … , 2019 2019 Citations: 27
A parametric voxel based unified modeler for creating carved jewelry V Gulati, H Singh, P Tandon Computer-Aided Design and Applications 5 (6), 811-821 , 2008 2008 Citations: 23
A parametric voxel oriented CAD paradigm to produce forming components for stretch formed jewelry V Gulati, P Tandon Computer-Aided Design and Applications 4 (1-4), 137-145 , 2007 2007 Citations: 21
Digital manufacturing of Indian traditional handicrafts V Gulati, S Mathur International Journal of Computer Applications 164 (11), 1-4 , 2017 2017 Citations: 17
Concurrent design and prototyping of composite accelerator pedal P Chabra, P Katyal, V Gulati International Journal of Advancements in Technology 2 (1), 561-576 , 2011 2011 Citations: 14
Parameterized Modeling of Star Patterns for Traditional Latticed Screens V Gulati, P Katyal International Journal of Computer Applications 11 (1), 28-36 , 2010 2010 Citations: 12
Investigation of some process parameters on forming force in single point incremental forming V Gulati, A Kumar Int Res J Eng Technol 4 (4), 784-791 , 2018 2018 Citations: 11
A jewelry modeler for the fret-worked bangles V Gulati, P Tandon, H Singh International Journal of Computer Applications 2 (2), 76-80 , 2010 2010 Citations: 11
