Gauri Rajendra Mahalle

@bits-pilani.ac.in

Research Scholar,
Mechanical Engineering Department, BITS-Pilani, Hyderabad Campus, TS, India

Gauri Rajendra Mahalle


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https://researchid.co/p20160415

RESEARCH INTERESTS

• Sheet Metal Forming
• Material Modelling and Characterization
• Finite Element Analysis
• Machine Design, Product Design & Development
• Fracture Mechanics and Damage Modelling
• Warm and Hot Forming of Advanced High Strength Materials
25

Scopus Publications

424

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • Integrated Johnson–Cook and Zerilli–Armstrong constitutive model for flow-stress prediction of AZ31B alloy
    Aarjoo Jaimin, Gauri Mahalle, Nitin Kotkunde, Swadesh Kumar Singh
    Advances in Materials and Processing Technologies, 2024
    An appropriate constitutive model is essential for trustworthy numerical simulations and the analysis of material deformation behaviour during the metal-forming process. In the present work, the quasi-static warm tensile response of AZ31B alloy ranging from 200°C to 350°C with an incremental difference of 50°C and the strain rates from 10−1 to 10−3 s−1 is investigated experimentally and predicted using the Johnson–Cook and Zerilli–Armstrong (JC-ZA) constitutive model. The temperature and strain rate variation has a substantial impact on flow-stress behaviour. The model prediction efficacy is analysed based on the correlation coefficient (R), average absolute error (Δ), and their standard deviation (s). It is evident that the integrated JC–ZA model has better accuracy, with a correlation coefficient of 94.5%, average absolute error (Δ) of 3.97%, and a standard deviation of 5.67%.
  • Deformation behaviour and formability analysis of thin brass sheet: experiments and modelling
    V Dharam Singh, Gauri Mahalle, M Manzoor Hussain, Nitin Kotkunde, Swadesh Kumar Singh
    Australian Journal of Mechanical Engineering, 2024
    In this study, the hot deformation and formability behaviour of commercially Brass sheet under uniaxial and multiaxial loading conditions at a wide range of temperatures (room temperature −773 K) have been investigated by experiments and theoretical modelling. Uniaxial tensile test and Nakazima test at different test temperatures have been conducted. Different constitutive models, namely, Johnson-Cook (JC) model, modified Zerilli–Armstrong (m-ZA) model, modified JC model, integrated Johnson Cook and Zerilli–Armstrong (JC-ZA) model, have been used to understand the prediction behaviour of flow stress of Brass. Further anisotropic yield criteria, namely, Hill’48 and Barlat’89 yield functions have been utilised for yield loci prediction. From Nakazima test, the experimental forming limit diagram has been plotted. Other formability parameters, namely, limit dome height, thickness distribution, and strain distribution have been analysed. The theoretical FLD by Marciniak Kuczynski (MK) model. By employing the uniaxial constitutive models, anisotropic yield criteria have been investigated. The predicted MK-FLD coupled with the JC-ZA model and Barlat’89 yield criteria shows good agreement with measured experimental FLD.
  • An integrated experimental and finite element approach for wrinkling limit prediction of Inconel 718 alloy at elevated temperatures
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Journal of Strain Analysis for Engineering Design, 2022
    Wrinkling is generally induced because of metal instability and considered as an undesirable defect in sheet metal forming processes. Wrinkling leads to severe influence on functional requirements and aesthetic appeal of final component. Thus, the present research is mainly dedicated on the experimental and numerical analysis for wrinkling behavior prediction of Inconel 718 alloy at elevated temperature conditions. Initially, Yoshida buckling tests (YBT) have been conducted to investigate wrinkling tendencies of Inconel 718 alloy from room temperature (RT) to 600°C by an interval of 200°C. Subsequently, Finite Element (FE) analysis of YBT has been performed to analyze post buckling behavior. Critical strain values at onset of wrinkling are determined and strain based wrinkling limit curves (ε-WLCs) are plotted at different temperatures. In-plane principal strains are transferred to effective plastic strain (EPS) versus triaxiality (η) space to differentiate the transformation between safe and wrinkling instability. Finally, complete forming behavior of alloy is represented by means of fracture, forming, and wrinkling limit curves. The gap between forming and wrinkling limit curves at elevated temperature is ∼1.5 times higher than that at room temperature.
  • Investigation of strain-rate sensitivity of T91 Steel Using Small Punch Testing
    Gauri Mahalle, Thomas P. Davis, William E. Lee, Abdullah Al Mamun
    Procedia Structural Integrity, 2022
    The Small Punch Test (SPT) is a useful technique for deriving location-dependent mechanical properties using small-sized specimens. In this work, we have investigated the tensile and fracture behavior of T91 steel, a candidate material for fusion and Gen IV fission nuclear reactors, by the SPT technique. Firstly, the hot shear flow behavior of T91 steel was investigated by SPT in the temperature range of 400 – 550 °C under quasi-static strain rates (0.003 mm/min and 0.3 mm/min). Further, the hot deformation material parameters in the exponential power-law and hyperbolic sine constitutive equations have been evaluated. The effect of temperature and strain rate variation on stress exponent in power-law and activation energy from hyperbolic sine equation have been correlated.
  • Analysis of Tensile Deformation Behaviour of Dual Phase -590 Steel at Different Temperatures and Strain Rates
    K. Seshacharyulu, Gauri Mahalle, Nitin Kotkunde, Swadesh Kumar Singh, B. Balu Naik
    Advances in Materials and Processing Technologies, 2022
    An accurate uniaxial constitutive model is necessary to analyse the plastic deformation behaviour of metal and for reliable finite element simulations in sheet metal forming operations. In the present study, the hot uniaxial tensile flow stress analysis of dual phase (DP590) steel thin sheet has been carried out under a quasi-static strain rates of 0.1–0.001/s at the temperature range of 723–1073 K. The flow stress behaviour is significantly affected by test temperatures, strain rates and sheet orientations. Further, the Fields–Backofen constitutive flow relationship has been used to investigate the flow stress behaviour. This predicted flow stress curves shows a good fit to the experimentally measured stress at the work-hardening stage. Furthermore, a modified Fields–Backofen constitutive equation with a softening term has been considered to predict the flow behaviour. The capability of models has been evaluated based on the correlation coefficient (R), average absolute error AAE (Δavg) and root mean square error (RMSE). A better prediction of flow stress behaviour is observed by modified modified Fields–Backofen model with R = 0.9552, Δ = 0.034 and s = 0.0564.
  • Application of Deep Learning models to characterize manufacturing defects in additive manufactured components
    Satyajit Dey, Zhijin Lyu, Gauri Mahalle, Anas Achouri, Abdullah Al Mamun
    Procedia Structural Integrity, 2022
    This work is part of a large package of work investigating the structural integrity of additively manufactured components in nuclear applications. Components manufactured using additive manufacturing (AM) often contain high degree of manufacturing defects which may lead to pre-mature failure in service conditions, for example, during fatigue loading. The aim of this work is to automate the detection and analysis of various types of manufacturing defects in AM using image segmentation techniques such that, robust predictive models can be built to correlate the defects with material deformation. The types of defects considered in this work are lack of fusion, micro-crack, spherical porosity, and unmelted particles. Four rectangular blocks of 316L stainless steel were fabricated using Selective Laser Melting (SLM) and Direct Lased Deposition (DED) techniques. The blocks were cut longitudinally, and the surfaces were metallographically polished and imaged using Scanning Electron Microscope (SEM). Deep neural network models were constructed based on three architectures: Fast Fully Convolutional Network (FCN), SegNet and UNet. The models were then trained using a set of micrographs utilizing various sets of hyperparameters. Model testing and validation were conducted using new and unseen images. Performance of the models were assessed based on training run times, testing run times and accuracy of detecting the correct locations, types, and sizes of the defects in the validation datasets.
  • Analysis of material properties and strain hardening behaviour of brass at different temperature and quasi-static strain rate conditions
    V. Dharam Singh, Gauri Mahalle, Nitin Kotkunde, Swadesh Kumar Singh, M. Manzoor Hussain
    Advances in Materials and Processing Technologies, 2022
    The α-Brass alloy is gaining special attention for electrical and thermal conductivity applications because of being easily formed/workability and retaining high strength after forming. This makes crucial to understand the plastic deformation behaviour and work hardening behaviour of a material for reliable finite element simulations. In present study, the hot uniaxial tensile flow stress analysis of α-Brass alloy thin sheet has been carried out under a quasi-static strain rates of 0.1–0.001/s at the temperature range of 300 K–773 K. Flow stress behaviour has significantly affected with test temperatures, strain rates and sheet orientations. Anisotropy in terms of yield stress variation and % elongation by in-plane anisotropy and Anisotropy index have been evaluated. Further, stress–strain relation has been analysed by popular empirical strain hardening equation namely, Hollomon and Swift. The work hardening behaviour of alloy has been well-defined by Swift relationship compare to Hollomon empirical relation.
  • Strain and Stress-Based Forming Limit Diagrams for Inconel 718 Alloy
    Gauri Mahalle, Prathamesh Takalkar, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Minerals Metals and Materials Series, 2022
  • High temperatures deformation and formability behavior of DP590 steel: mechanical characterization and modeling
    K. Seshacharyulu, Gauri Mahalle, Nitin Kotkunde, Swadesh Kumar Singh, B. Balu Naik
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021
  • Comparative assessment of failure strain predictions using ductile damage criteria for warm stretch forming of IN718 alloy
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    International Journal of Material Forming, 2021
    It is vital to envisage accurately the fracture limits of high strength superalloys when noticeable localized necking or thinning tendency is not observed during sheet-metal stretch forming process. The present study mainly focuses on fracture limits evaluation of Inconel 718 alloy (IN718) in the effective plastic strain (EPS) vs. average triaxiality space. First, uniaxial tensile test, to analyze the material properties, were instigated at different test temperatures (RT-700 °C). Subsequently, stretch forming is performed to evaluate forming and fracture forming limit diagrams (FLD and FFLD) of IN718 using Nakazima test. It is observed that forming and fractured limits of IN718 are significantly influenced by variation of processing temperatures (with approximately 65–70% improvement in major safe and fracture strains) in all deformation regions (with respect to RT). In average triaxiality (η) vs effective plastic strain (EPS) space, higher fracture limits of IN718 are noticed in the entire triaxiality path of deformation region. Seven different ductile fracture models, namely McClintock (M-Mc), Brozzo, Rice-Tracey (R-T), Ko, Oh, Cockcroft and Latham (C-L), and Clift, are formulated so as to foresee the fracture loci of IN718 in EPS vs. triaxiality space. Overall, Oh model, showed best predictability at all temperatures with least Average absolute error (AAE < 13.5%).
  • Fracture limit analysis of DP590 steel using single point incremental forming: experimental approach, theoretical modeling and microstructural evolution
    Sandeep Pandre, Ayush Morchhale, Gauri Mahalle, Nitin Kotkunde, Kurra Suresh, Swadesh Kumar Singh
    Archives of Civil and Mechanical Engineering, 2021
  • An improved M-K model coupled with different ductile criteria for fracture limit predictions of Inconel 718 alloy
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Journal of Materials Research and Technology, 2021
  • PREDICTION OF HOT DEFORMATION BEHAVIORS UNDER MULTIAXIAL LOADING USING GURSON-TVERGAARD-NEEDLEMAN DAMAGE MODEL FOR INCONEL 718 ALLOY THIN SHEET
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh, Chetan P. Nikhare
    ASME International Mechanical Engineering Congress and Exposition Proceedings Imece, 2021
  • Study of Khan-Huang-Liang (KHL) Anisotropic Deformation Model for Deep Drawing Behaviour of Inconel 718 Alloy
    Gauri Mahalle, Omkar Salunke, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Iop Conference Series Materials Science and Engineering, 2020
  • Forming and fracture limits of IN718 alloy at elevated temperatures: Experimental and theoretical investigation
    Gauri Mahalle, Ayush Morchhale, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh, Y.C. Lin
    Journal of Manufacturing Processes, 2020
  • Prediction of flow stress behaviour by materials modelling technique for Inconel 718 alloy at elevated temperature
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Advances in Materials and Processing Technologies, 2020
  • Efficacy of semi-empirical models for prediction of forming limit curve of IN718 alloy at elevated temperatures
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Advances in Materials and Processing Technologies, 2020
  • Analysis of Hot Anisotropic Tensile Flow Stress and Strain Hardening Behavior for Inconel 625 Alloy
    C. Anand Badrish, Nitin Kotkunde, Gauri Mahalle, Swadesh Kumar Singh, K. Mahesh
    Journal of Materials Engineering and Performance, 2019
  • Microstructure Characteristics and Comparative Analysis of Constitutive Models for Flow Stress Prediction of Inconel 718 Alloy
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, R. Sujith, Swadesh Kumar Singh, Y. C. Lin
    Journal of Materials Engineering and Performance, 2019
  • Neural network modeling for anisotropic mechanical properties and work hardening behavior of Inconel 718 alloy at elevated temperatures
    Gauri Mahalle, Omkar Salunke, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Journal of Materials Research and Technology, 2019
  • Cowper-symonds strain hardening model for flow behaviour of inconel 718 alloy
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Materials Today Proceedings, 2019
  • Analysis of Hot Workability of Inconel Alloys Using Processing Maps
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Lecture Notes on Multidisciplinary Industrial Engineering, 2019
  • Anisotropic yielding behaviour of Inconel 718 alloy at elevated temperatures
    Gauri Mahalle, Omkar Salunke, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    ASME International Mechanical Engineering Congress and Exposition Proceedings Imece, 2019
  • Analysis of Flow Stress Behaviour of Inconel Alloys at Elevated Temperatures Using Constitutive Model
    Gauri Mahalle, Nitin Kotkunde, Rushabha Shah, Amit Kumar Gupta, Swadesh Kumar Singh
    Journal of Physics Conference Series, 2018
  • Study of mechanical properties and microstructural analysis for inconel alloy sheet at elevated temperature
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Materials Today Proceedings, 2018

RECENT SCHOLAR PUBLICATIONS

  • Integrated Johnson–Cook and Zerilli–Armstrong constitutive model for flow-stress prediction of AZ31B alloy
    A Jaimin, G Mahalle, N Kotkunde, SK Singh
    Advances in Materials and Processing Technologies 10 (4), 3147-3156 , 2024
    2024
    Citations: 7
  • Deformation behaviour and formability analysis of thin brass sheet: experiments and modelling
    VD Singh, G Mahalle, MM Hussain, N Kotkunde, SK Singh
    Australian Journal of Mechanical Engineering 22 (2), 296-313 , 2024
    2024
    Citations: 3
  • Analysis of tensile deformation behaviour of dual phase-590 steel at different temperatures and strain rates
    K Seshacharyulu, G Mahalle, N Kotkunde, SK Singh, BB Naik
    Advances in Materials and Processing Technologies 8 (sup3), 1647-1663 , 2022
    2022
    Citations: 4
  • Analysis of material properties and strain hardening behaviour of brass at different temperature and quasi-static strain rate conditions
    VD Singh, G Mahalle, N Kotkunde, SK Singh, MM Hussain
    Advances in Materials and Processing Technologies 8 (sup3), 1533-1542 , 2022
    2022
    Citations: 8
  • Forming and Fracture Limit Diagrams of Inconel 718 Alloy at Elevated Temperatures
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Metal Forming Processes, 151-167 , 2022
    2022
    Citations: 1
  • An integrated experimental and finite element approach for wrinkling limit prediction of Inconel 718 alloy at elevated temperatures
    G Mahalle, N Kotkunde, A Kumar Gupta, S Kumar Singh
    The Journal of Strain Analysis for Engineering Design 57 (6), 459-475 , 2022
    2022
    Citations: 9
  • Strain and Stress-Based Forming Limit Diagrams for Inconel 718 Alloy
    G Mahalle, P Takalkar, N Kotkunde, AK Gupta, SK Singh
    NUMISHEET 2022:Proceedings of the 12th International Conference and Workshop … , 2022
    2022
    Citations: 3
  • Prediction of Hot Deformation Behaviors Under Multiaxial Loading Using Gurson-Tvergaard-Needleman Damage Model for Inconel 718 Alloy Thin Sheet
    G Mahalle, N Kotkunde, AK Gupta, SK Singh, CP Nikhare
    ASME 2021 International Mechanical Engineering Congress and Exposition 2 , 2022
    2022
  • Application of Deep Learning models to characterize manufacturing defects in additive manufactured components
    S Dey, Z Lyu, G Mahalle, A Achouri, A Al Mamun
    Procedia Structural Integrity 42, 943-951 , 2022
    2022
    Citations: 5
  • Investigation of strain-rate sensitivity of T91 Steel Using Small Punch Testing
    G Mahalle, TP Davis, WE Lee, A Al Mamun
    Procedia Structural Integrity 42, 570-577 , 2022
    2022
    Citations: 1
  • Efficacy of semi-empirical models for prediction of forming limit curve of IN718 alloy at elevated temperatures
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Advances in Materials and Processing Technologies 7 (4), 617-629 , 2021
    2021
    Citations: 9
  • High temperatures deformation and formability behavior of DP590 steel: Mechanical characterization and modeling
    K Seshacharyulu, G Mahalle, N Kotkunde, SK Singh, B Balu Naik
    Journal of the Brazilian Society of Mechanical Sciences and Engineering 43 … , 2021
    2021
    Citations: 14
  • Comparative assessment of failure strain predictions using ductile damage criteria for warm stretch forming of IN718 alloy
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    International Journal of Material Forming 14 (5), 799-812 , 2021
    2021
    Citations: 11
  • Experimental and Numerical Analysis of Forming, Fracture and Wrinkling Limit Diagrams for Inconel 718 Alloy at Elevated Temperatures
    G Mahalle
    Birla Institute Of Technology and Science, Pilani - Hyderabad Campus , 2021
    2021
  • Fracture limit analysis of DP590 steel using single point incremental forming: experimental approach, theoretical modeling and microstructural evolution
    S Pandre, A Morchhale, G Mahalle, N Kotkunde, K Suresh, SK Singh
    Archives of Civil and Mechanical Engineering 21 (3), 95 , 2021
    2021
    Citations: 33
  • An improved M–K model coupled with different ductile criteria for fracture limit predictions of Inconel 718 alloy
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Journal of Materials Research and Technology 11, 1162-1174 , 2021
    2021
    Citations: 19
  • Study of Khan-Huang-liang (KHL) anisotropic deformation model for deep drawing behaviour of inconel 718 alloy
    G Mahalle, O Salunke, N Kotkunde, A Kumar Gupta, SK Singh
    IOP Conference Series: Materials Science and Engineering 967 (1), 012054 , 2020
    2020
    Citations: 6
  • Forming and fracture limits of IN718 alloy at elevated temperatures: Experimental and theoretical investigation
    G Mahalle, A Morchhale, N Kotkunde, AK Gupta, SK Singh, YC Lin
    Journal of Manufacturing Processes 56, 482-499 , 2020
    2020
    Citations: 57
  • Prediction of flow stress behaviour by materials modelling technique for Inconel 718 alloy at elevated temperature
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Advances in Materials and Processing Technologies , 2020
    2020
    Citations: 23
  • Anisotropic Yielding Behaviour of Inconel 718 Alloy at Elevated Temperatures
    G Mahalle, O Salunke, N Kotkunde, AK Gupta, SK Singh
    ASME 2019 International Mechanical Engineering Congress and Exposition , 2020
    2020
    Citations: 10

MOST CITED SCHOLAR PUBLICATIONS

  • Neural network modeling for anisotropic mechanical properties and work hardening behavior of Inconel 718 alloy at elevated temperatures
    G Mahalle, O Salunke, N Kotkunde, AK Gupta, SK Singh
    Journal of Materials Research and technology 8 (2), 2130-2140 , 2019
    2019
    Citations: 67
  • Forming and fracture limits of IN718 alloy at elevated temperatures: Experimental and theoretical investigation
    G Mahalle, A Morchhale, N Kotkunde, AK Gupta, SK Singh, YC Lin
    Journal of Manufacturing Processes 56, 482-499 , 2020
    2020
    Citations: 57
  • Microstructure characteristics and comparative analysis of constitutive models for flow stress prediction of Inconel 718 alloy
    G Mahalle, N Kotkunde, AK Gupta, R Sujith, SK Singh, YC Lin
    Journal of Materials Engineering and Performance 28 (6), 3320-3331 , 2019
    2019
    Citations: 48
  • Fracture limit analysis of DP590 steel using single point incremental forming: experimental approach, theoretical modeling and microstructural evolution
    S Pandre, A Morchhale, G Mahalle, N Kotkunde, K Suresh, SK Singh
    Archives of Civil and Mechanical Engineering 21 (3), 95 , 2021
    2021
    Citations: 33
  • Analysis of Hot Anisotropic Tensile Flow Stress and Strain Hardening Behavior for Inconel 625 Alloy
    CA Badrish, N Kotkunde, G Mahalle, SK Singh, K Mahesh
    Journal of Materials Engineering and Performance, 1-17 , 2019
    2019
    Citations: 33
  • Cowper-Symonds Strain Hardening Model For Flow Behaviour Of Inconel 718 Alloy
    Gauri Mahalle, Nitin Kotkunde, Amit Kumar Gupta, Swadesh Kumar Singh
    Materials Today: Proceedings 18 (7), 2796-2801 , 2019
    2019
    Citations: 26
  • Prediction of flow stress behaviour by materials modelling technique for Inconel 718 alloy at elevated temperature
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Advances in Materials and Processing Technologies , 2020
    2020
    Citations: 23
  • An improved M–K model coupled with different ductile criteria for fracture limit predictions of Inconel 718 alloy
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Journal of Materials Research and Technology 11, 1162-1174 , 2021
    2021
    Citations: 19
  • High temperatures deformation and formability behavior of DP590 steel: Mechanical characterization and modeling
    K Seshacharyulu, G Mahalle, N Kotkunde, SK Singh, B Balu Naik
    Journal of the Brazilian Society of Mechanical Sciences and Engineering 43 … , 2021
    2021
    Citations: 14
  • Analysis of flow stress behaviour of inconel alloys at elevated temperatures using constitutive model
    G Mahalle, N Kotkunde, R Shah, AK Gupta, SK Singh
    Journal of Physics: Conference Series 1063 (1), 012037 , 2018
    2018
    Citations: 12
  • Comparative assessment of failure strain predictions using ductile damage criteria for warm stretch forming of IN718 alloy
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    International Journal of Material Forming 14 (5), 799-812 , 2021
    2021
    Citations: 11
  • Anisotropic Yielding Behaviour of Inconel 718 Alloy at Elevated Temperatures
    G Mahalle, O Salunke, N Kotkunde, AK Gupta, SK Singh
    ASME 2019 International Mechanical Engineering Congress and Exposition , 2020
    2020
    Citations: 10
  • An integrated experimental and finite element approach for wrinkling limit prediction of Inconel 718 alloy at elevated temperatures
    G Mahalle, N Kotkunde, A Kumar Gupta, S Kumar Singh
    The Journal of Strain Analysis for Engineering Design 57 (6), 459-475 , 2022
    2022
    Citations: 9
  • Efficacy of semi-empirical models for prediction of forming limit curve of IN718 alloy at elevated temperatures
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Advances in Materials and Processing Technologies 7 (4), 617-629 , 2021
    2021
    Citations: 9
  • Analysis of material properties and strain hardening behaviour of brass at different temperature and quasi-static strain rate conditions
    VD Singh, G Mahalle, N Kotkunde, SK Singh, MM Hussain
    Advances in Materials and Processing Technologies 8 (sup3), 1533-1542 , 2022
    2022
    Citations: 8
  • Analysis of hot workability of Inconel alloys using processing maps
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Advances in Computational Methods in Manufacturing: Select Papers from ICCMM … , 2019
    2019
    Citations: 8
  • Integrated Johnson–Cook and Zerilli–Armstrong constitutive model for flow-stress prediction of AZ31B alloy
    A Jaimin, G Mahalle, N Kotkunde, SK Singh
    Advances in Materials and Processing Technologies 10 (4), 3147-3156 , 2024
    2024
    Citations: 7
  • Study of mechanical properties and microstructural analysis for inconel alloy sheet at elevated temperature
    G Mahalle, N Kotkunde, AK Gupta, SK Singh
    Materials Today: Proceedings 5 (9), 18016-18023 , 2018
    2018
    Citations: 7
  • Study of Khan-Huang-liang (KHL) anisotropic deformation model for deep drawing behaviour of inconel 718 alloy
    G Mahalle, O Salunke, N Kotkunde, A Kumar Gupta, SK Singh
    IOP Conference Series: Materials Science and Engineering 967 (1), 012054 , 2020
    2020
    Citations: 6
  • Application of Deep Learning models to characterize manufacturing defects in additive manufactured components
    S Dey, Z Lyu, G Mahalle, A Achouri, A Al Mamun
    Procedia Structural Integrity 42, 943-951 , 2022
    2022
    Citations: 5