Akhil Garg

发表

Crash analysis of lithium-ion batteries using finite element based neural search analytical models

Akhil Garg, Xiongbin Peng, Vikas Pratap Singh, 2018, Engineering with Computers.

Modeling of a magneto-rheological (MR) damper using genetic programming

Akhil Garg, Kang Tai, Pravin M. Singru, 2017 .

Lithium-Ion Battery Packs Formation With Improved Electrochemical Performance for Electric Vehicles: Experimental and Clustering Analysis

Akhil Garg, Liang Gao, Jian Zhang, 2019, Journal of Electrochemical Energy Conversion and Storage.

Measurement of stress dependent permeability of unsaturated clay

Akhil Garg, Ankit Garg, Jinhui Li, 2016 .

An evolutionary framework in modelling of multi-output characteristics of the bone drilling process

Akhil Garg, Biranchi Narayan Panda, V. Vijayaraghavan, 2018, Neural Computing and Applications.

Functional characterization of current characteristic of direct methanol fuel cell

Akhil Garg, Jasmine Siu Lee Lam, Biranchi Narayan Panda, 2016 .

Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet

Akhil Garg, Liang Gao, V. Vijayaraghavan, 2014, Simul. Model. Pract. Theory.

Model reference adaptive controller for enhancing depth of penetration and bead width during Cold Metal Transfer joining process

Akhil Garg, Liang Gao, S. Arungalai Vendan, 2018, Robotics and Computer-Integrated Manufacturing.

On Chip Jitter Measurement through a High Accuracy TDC

Akhil Garg, Prashant Dubey, 2008, ISQED 2008.

Long-term health monitoring for deteriorated bridge structures based on Copula Theory

Akhil Garg, Zhang Yi, Chul-Woo Kim, 2018 .

Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming

Akhil Garg, K. Tai, K. Tai, 2013, 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

An ensemble evolutionary approach in evaluation of surface finish reduction of vibratory finishing process

Kuldip Singh Sangwan, Akhil Garg, Liang Gao, 2015 .

A hybrid computational intelligence framework in modelling of coal-oil agglomeration phenomenon

Akhil Garg, Jasmine Siu Lee Lam, Biranchi Narayan Panda, 2017, Appl. Soft Comput..

A Fuzzy-Taguchi Approach for Improving Dimensional Accuracy of Fused Deposition Modelling (FDM) Built Parts

Akhil Garg, A. Garg, 2010 .

Performance evaluation of warping characteristic of fused deposition modelling process

Akhil Garg, Zhang Jian, Biranchi Narayan Panda, 2017 .

Measurement of environmental aspect of 3-D printing process using soft computing methods

Akhil Garg, Jasmine Siu Lee Lam, A. Garg, 2015 .

A new computational intelligence approach in formulation of functional relationship of open porosity of the additive manufacturing process

Akhil Garg, Jasmine Siu Lee Lam, M. M. Savalani, 2015 .

True stress measurement of nuclear fuel rod cladding material subjected to DSA regime

Akhil Garg, Biranchi Narayan Panda, K. Tai, 2016, Neural Computing and Applications.

A hybrid method for overlapping speech detection in classroom environment

Akhil Garg, Yifei Chen, Dazhi Jiang, 2018, Comput. Appl. Eng. Educ..

Study of effect of nanofluid concentration on response characteristics of machining process for cleaner production

Akhil Garg, Biranchi Narayan Panda, Liang Gao, 2016 .

Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process

Akhil Garg, K. Tai, K. Tai, 2014, Adv. Eng. Softw..

Compressive strength analysis of soil reinforced with fiber extracted from water hyacinth

Akhil Garg, Ankit Garg, Sanandam Bordoloi, 2017 .

Performance evaluation of microbial fuel cell by artificial intelligence methods

Akhil Garg, V. Vijayaraghavan, K. Tai, 2014, Expert Syst. Appl..

Modeling multiple-response environmental and manufacturing characteristics of EDM process

Akhil Garg, Jasmine Siu Lee Lam, A. Garg, 2016 .

Numerical Investigation of Flexural Properties of Curved Layer FDM Parts

Akhil Garg, Biranchi Narayan Panda, Xiongbin Peng, 2017, SocProS.

Thermal management system design for batteries packs of electric vehicles: A survey

Akhil Garg, Xiongbin Peng, Jian Zhang, 2017, 2017 Asian Conference on Energy, Power and Transportation Electrification (ACEPT).

Design optimization of battery pack enclosure for electric vehicle

Akhil Garg, Jian Zhang, Xiongbin Peng, 2018 .

A hybrid \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text{ M}5^\prime $$\end{document}-genetic programming approa

Akhil Garg, K. Tai, C. H. Lee, 2013, Journal of Intelligent Manufacturing.

An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material

Akhil Garg, Liang Gao, V. Vijayaraghavan, 2014, Simul. Model. Pract. Theory.

Empirical investigation of environmental characteristic of 3-D additive manufacturing process based on slice thickness and part orientation

Akhil Garg, Biranchi Narayan Panda, K. Shankhwar, 2016 .

Measurement of properties of graphene sheets subjected to drilling operation using computer simulation

Akhil Garg, Chee How Wong, Siba Sankar Mahapatra, 2014 .

Interdisciplinary Treatment to Arc Welding Power Sources

Akhil Garg, Liang Gao, S. Arungalai Vendan, 2018 .

Investigation of the joint length of weldment of environmental-friendly magnetic pulse welding process

Akhil Garg, Biranchi Narayan Panda, K. Shankhwar, 2016 .

Energy component in the density of selective laser melting fabricated prototype

Akhil Garg, Jasmine Siu Lee Lam, M. M. Savalani, 2016 .

Confluence of Multidisciplinary Sciences for Polymer Joining

Akhil Garg, Liang Gao, S. Arungalai Vendan, 2018 .

Experimental- and numerical-based studies for magnetically impelled arc butt welding of T11 chromium alloy tubes

Akhil Garg, Biranchi Narayan Panda, S. Arungalai Vendan, 2017 .

Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage

Akhil Garg, Liang Gao, Dezhi Chen, 2018 .

Density characteristics of laser-sintered three-dimensional printing parts investigated by using an integrated finite element analysis–based evolutionary algorithm approach

Akhil Garg, Mi-Ching Tsai, Chee How Wong, 2016 .

Computation of coupled effects of root and shoot characteristics on transpiration based on optimization approach

Akhil Garg, Ankit Garg, Wan-Huan Zhou, 2017 .

A comprehensive study in quantification of response characteristics of incremental sheet forming process

Akhil Garg, Biranchi Narayan Panda, Liang Gao, 2017 .

Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing

Akhil Garg, Biranchi Narayan Panda, K. Shankhwar, 2019, J. Intell. Manuf..

A generic framework for recycling of battery module for electric vehicle by combining the mechanical and chemical procedures

Akhil Garg, Jian Zhang, Yun Liu, 2018 .

A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance

Akhil Garg, Jasmine Siu Lee Lam, Liang Gao, 2015, Swarm Evol. Comput..

Laser power based surface characteristics models for 3-D printing process

Akhil Garg, Jasmine Siu Lee Lam, M. M. Savalani, 2018, J. Intell. Manuf..

Empirical analysis of model selection criteria for genetic programming in modeling of time series system

Akhil Garg, K. Tai, S. Sriram, 2013, 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Welding an Overview

Akhil Garg, Liang Gao, S. Arungalai Vendan, 2018, Interdisciplinary Treatment to Arc Welding Power Sources.

Heat dissipation analysis and multi-objective optimization of a permanent magnet synchronous motor using surrogate assisted method

Akhil Garg, Liang Gao, Yongsheng Li, 2021 .

Real-Time State of Charge Estimation of the Extended Kalman Filter and Unscented Kalman Filter Algorithms Under Different Working Conditions

Akhil Garg, Xiongbin Peng, Yuwu Li, 2021 .

An Effective Deep Neural Network Method for Prediction of Battery State at Cell and Module Level

Akhil Garg, Liang Gao, Xujian Cui, 2021 .

Application of digital twins to the product lifecycle management of battery packs of electric vehicles

Akhil Garg, Liang Gao, Wei Li, 2021, IET Collaborative Intelligent Manufacturing.

A hybrid disassembly framework for disassembly of electric vehicle batteries

Akhil Garg, Liang Gao, Wei Jie Tan, 2021, International Journal of Energy Research.

Engineering Design of Battery Module for EVs: Comprehensive Framework Development Based on DFT, Topology Optimization, Machine Learning, Multidisciplinary Design Optimization and Digital Twins

Akhil Garg, Liang Gao, Wei Li, 2021, Journal of Electrochemical Energy Conversion and Storage.

A comprehensive analysis and optimization process for an integrated liquid cooling plate for a prismatic lithium-ion battery module

Akhil Garg, Xiongbin Peng, Nengsheng Bao, 2019, Applied Thermal Engineering.

An empirical model design for evaluation and estimation of carbonation depth in concrete

Akhil Garg, Xiongbin Peng, Suvash Chandra Paul, 2018, Measurement.

A Coupled Mechanical–Electrochemical Study of Li-Ion Battery Based on Genetic Programming and Experimental Validation

Akhil Garg, Xiongbin Peng, Jian Zhang, 2018, Journal of Electrochemical Energy Conversion and Storage.

Experimental and artificial intelligence for determination of stable criteria in cyclic voltammetric process of medicinal herbs for biofuel cells

Akhil Garg, Liang Gao, Kathiravan Srinivasan, 2019, International Journal of Energy Research.

A modified multi-gene genetic programming approach for modelling true stress of dynamic strain aging regime of austenitic stainless steel 304

Akhil Garg, Kang Tai, Amit Kumar Gupta, 2014 .

A coupled and interactive influence of operational parameters for optimizing power output of cleaner energy production systems under uncertain conditions

Akhil Garg, Liang Gao, Zhun Fan, 2019, International Journal of Energy Research.

Investigation of mechanical strength of 2D nanoscale structures using a molecular dynamics based computational intelligence approach

Kuldip Singh Sangwan, Akhil Garg, Siba Sankar Mahapatra, 2015 .

Estimation of mechanical properties of nanomaterials using artificial intelligence methods

Akhil Garg, Kang Tai, Chee How Wong, 2013, Applied Physics A.

Alternative Maritime Power application as a green port strategy: Barriers in China

Akhil Garg, Lang Xu, Jihong Chen, 2019, Journal of Cleaner Production.

Constructed mathematical model for nanowire electron transfer in microbial fuel cells

Akhil Garg, Chin-Tsan Wang, Thangavel Sangeetha, 2018, Journal of Power Sources.

Thermo-mechanical modeling of metallic alloys for nuclear engineering applications

Akhil Garg, Liang Gao, Kang Tai, 2017 .

Study of the volumetric water content based on density, suction and initial water content

Akhil Garg, Wan-Huan Zhou, Ankit Garg, 2016 .

An integrated framework for minimization of inter lithium‐ion cell temperature differences and the total volume of the cell of battery pack for electric vehicles

Akhil Garg, Liang Gao, Xiongbin Peng, 2019, Energy Storage.

A surrogate thermal modeling and parametric optimization of battery pack with air cooling for EVs

Akhil Garg, Liang Gao, Xiongbin Peng, 2019, Applied Thermal Engineering.

A simulation-based probabilistic framework for lithium-ion battery modelling

Akhil Garg, Ye Chow Kuang, Melanie Po-Leen Ooi, 2018 .

A novel method for determination of a time period for stabilization of power generation of microbial fuel cell with effect of microorganisms

Akhil Garg, Kathiravan Srinivasan, Xujian Cui, 2019, International Journal of Energy Research.

Electrochemical Performance Enhancement of Sodium-Ion Batteries Fabricated With NaNi1/3Mn1/3Co1/3O2 Cathodes Using Support Vector Regression-Simplex Algorithm Approach

Akhil Garg, Liang Gao, Chaitanya Ruhatiya, 2019, Journal of Electrochemical Energy Conversion and Storage.

Finite Element Based Physical Chemical Modeling of Corrosion in Magnesium Alloys

Akhil Garg, Liang Gao, V. Vijayaraghavan, 2017 .

Experimental and numerical modelling of mechanical properties of 3D printed honeycomb structures

Bibhuti Bhusan Biswal, Akhil Garg, Biranchi Narayan Panda, 2018 .

Maximization of extraction of Cadmium and Zinc during recycling of spent battery mix: An application of combined genetic programming and simulated annealing approach

Akhil Garg, Liang Gao, Zhun Fan, 2019, Journal of Cleaner Production.

Temperature Distribution Optimization of an Air-Cooling Lithium-Ion Battery Pack in Electric Vehicles Based on the Response Surface Method

Akhil Garg, Xiongbin Peng, Nengsheng Bao, 2019, Journal of Electrochemical Energy Conversion and Storage.

Multivariate optimization for maximum capacity of lead acid battery through Taguchi method

Akhil Garg, Mayank Vyas, Kapil Pareek, 2019 .

Application of artificial intelligence technique for modelling elastic properties of 2D nanoscale material

Akhil Garg, Leehter Yao, Siba Sankar Mahapatra, 2015 .

Design and analysis of capacity models for Lithium-ion battery

Akhil Garg, Xiongbin Peng, C.M.M. Chin, 2018 .

A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles

Akhil Garg, Xiongbin Peng, Akhil Garg, 2019, Journal of Electrochemical Energy Conversion and Storage.

Study of Read Recovery Dynamic Faults in 6T SRAMS and Method to Improve Test Time

Akhil Garg, Prashant Dubey, Shashank Mahajan, 2010, J. Electron. Test..