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  1. Welcome to IR @ NIT Rourkela

Recent Submissions

A Hybrid MCDM-Machine Learning Approach for Assessing Sustainable Supply Chain Readiness of Indian Manufacturing Industries

Manufacturing industries are leaning towards improving operational efficiency for long-term sustainability. In this context, the readiness of Indian manufacturing industries for sustainable supply chain management (SSCM) is investigated by considering key drivers and barriers. A hybrid approach integrating inter-valued intuitionistic fuzzy decision-making trial and evaluation laboratory (DEMATEL) combined with Random Forest Regression and Shapley Additive Explanation (SHAP) is used to determi...

Unusual Zero field cooled Exchange bias and related mechanism in YBaCuFeO5-Ni0.3Zn0.7Fe2O4 Composites

We report an unusual room temperature giant zero field cooled exchange bias (~1kOe) in an antiferromagnetic (100-x)YBaCuFeO5–ferrimagnetic (x) Ni0.3Zn0.7Fe2O4 composite. Solid state route is adopted to prepare these dilute weight% (x = 1, 3 and 5) ferrite based composites. Incommensurate to commensurate magnetic transition (TN2) of YBaCuFeO5 [1] is shifted to high temperature by 10 K with lowest concentration and indistinguishable in higher concentrations due to magnetic dominance of ferrites...

Spatial and Temporal Dynamics and Policy Transfer: Case of Small-Scale Entrepreneurial Clusters situated at peri-urban areas in India

The importance of Micro Small and Medium Enterprises (MSMEs) in creating livelihood opportunities and fostering socio-economic development is significant, especially in developing economies. Micro and Small enterprises contribute substantially in stirring socio-economic growth in India. However, enterprises do not run in isolation. Their growth enormously depends on ties with other firms and individuals which include interaction, knowledge sharing, access to resources and other factors, toget...

Examining the Role of Creative Process Engagement and Technological Readiness in Enhancing Employee Agility: From a Strategic HRM Perspective

The electronics manufacturing sector in India is undergoing rapid expansion while concurrently facing unpredictable, uncertain, and technologically dynamic circumstances. In these conditions, employees' agility is an essential element for organizations to retain competitiveness. This study examines how high-performance work system (HPWS) improve employee agility by utilizing the mediating mechanism of creative process engagement (CPE), based on the dynamic capability perspective. The study in...

Levelling Up Green Choices: Examining the role of Gamified Rewards and Customer Engagement in Anthropomorphized Brands

This research examines how anthropomorphic chatbots and reward-based gamification shape consumer behavior toward sustainable products. Across four experimental studies in apparel, electronics, and personal care retail contexts, we find that anthropomorphic (vs. non-anthropomorphic) chatbots enhance brand engagement, which in turn increases willingness to pay for sustainable products. Moreover, combining anthropomorphic chatbots with gamified rewards further amplifies this effect. Our findings...

Performance Comparison of Modified BALIA and LIA Multipath TCP Algorithms

Multipath Transmission Control Protocol (MPTCP) has emerged as a promising solution to leverage the capabilities of modern heterogeneous networks by enabling simultaneous data transmission across multiple paths. However, efficiently managing congestion control in MPTCP remains a critical challenge due to the need for fairness, stability, and optimal resource utilization. This paper provides a comprehensive analysis of state-of-the-art MPTCP congestion control algorithms with modified BALIA, f...

Support Vector Regression based Generalized Framework for the Health Assessment of Lithium-ion Batteries

Recent advancements in electric vehicle (EV) technology have created a strong need for new battery health evaluation techniques that can be integrated into Battery Management Systems (BMS) to provide more accurate predictions. Many existing methods are limited because they perform well only on the specific datasets used for model training. This study presents a more generalizable approach for assessing the health of lithiumion batteries (LiBs). The challenge lies in identifying a set of featu...

A Statistical Analysis of Martian Dust Storms Using the Landau Probability Distribution

Martian dust storms are an intriguing phenomenon that significantly alters the dynamics and thermodynamics of the atmosphere. Through observational and numerical modeling, studies have obtained a comprehensive understanding of the dust storms. This study uses the Landau distribution to analyze several dust storms and investigate the peak, dust availability, duration, etc. As the time series plot of dust variability for dust storms shows a right-skewed distribution, many of their characteristi...

Performance Investigation of Common Header Pulsating Heat Pipe for Thermal Management of Machines

Common Header Pulsating Heat Pipe (CHPHP) is a two-phase passive heat transfer device made by replacing the multiple U-bends of a conventional Pulsating Heat Pipe (PHP). The present CHPHP model consists of ten parallel channels in the adiabatic section and common channels at the evaporator and condenser sections. The flat design at the evaporator and condenser should facilitate a better contact area with the surface to be cooled and heat rejected, thus justifying the design modification. The ...

Influence of Straight Radial Groove Texture On the Performance of Gas Foil Thrust Bearings with and Without Slip Flow

Gas foil thrust bearings (GFTBs) have a wide range of applications in oil-free turbo machinery due to their advantages such as low maintenance, high speed ability, environmental friendliness, and wide range of temperature adaptability. However, the use of GFTBs is limited due to the low load-carrying capacity (LCC). This study develops a novel GFTB, engraving the straight radial grooves on the top foil surface to enhance the LCC. For numerical simulations, the 2D compressible, isothermal and ...

Academic Performance Prediction Using a Hybrid Machine Learning Framework

The fast-paced growth in educational technology and data science has paved the way for machine learning methods to assess student performance. Educational data mining (EDM) combines data mining, machine learning, and deep learning to improve the learning experiences of students. This paper delves into how we can categorize students based on their performance and suggests a tailored recommendation system for personalized learning. Using historical academic data from the UC Irvine Machine Learn...

Thermo-hydrodynamic Analysis and Optimization of Oil-Lubricated Straight Micro-Grooved Journal Bearing

Journal bearings are critical components in high-speed machinery, often prone to failures due to thermal and radial load challenges. Among various designs, grooved oil-lubricated journal bearings demonstrate superior thermo-hydrodynamic (THD) performance compared to conventional ones. This study focuses on evaluating the thermal and hydrodynamic performance of oil-lubricated straight micro-grooved journal bearings (StGJB) under high-speed and radial loading conditions. A THD lubrication model...

Nature-Inspired Herringbone Groove Textures: Enhancing the Static and Dynamic Performance of Gas Foil Journal Bearings for Turbomachinery Applications

Gas foil journal bearings (GFJBs) have received a lot of interest in modern turbomachinery because of their outstanding performance, especially in high-speed and high-temperature environments. The surface texture of bearings plays a crucial role in increasing load-carrying capacity, minimizing friction, and boosting overall efficiency. Nature-inspired designs, such as the convergent, divergent, and constant-width herringbone textures, offer innovative solutions to optimize these characteristi...

Phase Behavior and Structural Ordering of Water under Superhydrophilic Confinement: A Molecular Dynamics Study using the mW Model

We investigate how superhydrophilic confinement influences the thermodynamic and structural properties of water using molecular dynamics simulations with the coarse-grained monatomic water (mW) model. This work builds on our recent study of water confined within slit pores of varying widths and wall-fluid interaction strengths, focusing on properties such as density, enthalpy, potential energy, entropy, specific heat capacity, and structural ordering [1]. Strong wall-fluid interactions signif...

Extremal Problem for Graphs with Modular p-group Symmetry

For a finite group 𝐺, define 𝛼(𝐺) as the minimum number of vertices among all graphs Ξ“ such that Aut Ξ“ ∼= 𝐺 [1]. For any 𝑝 prime, all 𝑝-groups of order 𝑝𝑛 having cyclic subgroups of order π‘π‘›βˆ’1 have been completely classified. Several authors have already investigated some of these families of groups in order to find vertex-minimal graphs [2]. Here we consider a family of groups called modular 𝑝-groups, for an odd prime 𝑝 and 𝑛 β‰₯ 3. A modular 𝑝-group is defined as Mod𝑛(𝑝) = βŸ¨π‘Ž...

Kinematic Analysis and Optimal Design of Three-Stage Flapping Wing Mechanism

Ornithopters are unmanned aerial vehicles developed based on the inspiration of bird flight with flapping wings This paper proposes an optimization methodology of a double rocker-crank foldable flapping wing mechanism of an ornithopter. Initially, kinematic analysis of the mechanism is presented and the optimum design formulation is proposed. The constrained multi-objective optimization problem is solved using teaching learning-based optimization approach and the results are compared. The fla...

A Blockchain-driven Decentralized Autonomous Organization for Battery Energy Storage Systems

This paper presents a blockchain-enabled decentralized autonomous organization (DAO) framework that leverages interconnected multilateral smart contracts to create revenue streams for decentralized token holders. The framework facilitates participation in energy arbitrage mechanisms using a battery energy storage system (BESS), enabling efficient and transparent value generation. In this framework, each token holder (shareholder) exercises their voting rights to manage the operation of the ba...

Towards the Design and Development of a Framework for Electric Vehicles in Blockchain Marketplace

This paper presents a blockchain-based architecture for Vehicle-to-Everything (V2X) energy trading, designed to facilitate secure, transparent, and automated billing for roaming electric vehicles (EVs). The system employs a decentralized ledger to ensure tamper-proof transaction records and utilizes smart contracts to automate payments to charging stations, eliminating intermediaries and reducing costs. It supports diverse power trading scenarios, including Grid-to-Vehicle (G2V), Vehicle-to-G...

A Novel Dual Substrate Layer In-Band Full-Duplex Antenna with High Tx-Rx Isolation for V2X-ITS Applications

In this research, we introduce a novel co-linearly polarized in-band full-duplex (FD) antenna that achieves passive self-interference cancelation (SIC) through high Tx-Rx isolation. The proposed FD antenna of size 0.014 Ξ»30 is designed to operate within the IEEE 802.11p band (5.850 GHz to 5.945 GHz) for V2XITS applications. This isolation improvement is made possible by the proposed FD antenna, which does not need a complex or hybrid feed network or circulator. The study investigates the appl...

Exploring the Influence of Resource Availability on Safety Management in the Nepalese Construction Industry: A Scenario-Based Study

Safety management is a paramount task in the Nepalese construction industry, constituting a key aspect for measuring project success alongside factors such as time, cost, and quality performance. It encompasses various initiatives, processes, and regulatory compliances set by different governmental bodies. Often, the efficacy of safety management efforts is contingent upon resource availability. However, the influence of resource availability on safety management strategies (SMS) within the N...

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National Institute of Technology- Rourkela 5096

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Author
  • 165 Mishra, S C
  • 137 Roy, G K
  • 114 Ray, B C
  • 114 Sahoo, Bibhudatta
  • 107 Mahapatra, K K
  • 88 Panda, G
  • 78 Patra, S K
  • 71 Satapathy, Alok
  • 70 Behera, S K
  • 63 Dash, P K
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