bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation of 2D Graphene/Nano-Titanium Dioxide Modified Sensor for the Determination of Nicotine
Authors: Ranganathan Neha , Magesh Vasanth , Duraisamy Revathi , Ganapathy Dhanraj , Sundramoorthy Ashok K. 
Published: October 2024

Abstract
Nicotine has garnered considerable attention in health science due to its increasing detrimental effects on human health, stemming from its presence as a neuroactive compound in tobacco. The precise identification of nicotine in biological and medical samples is imperative for screening patients afflicted with neurodegenerative diseases resulting from tobacco addiction. This research endeavors to develop a facile electrochemical sensor tailored for nicotine detection. For electrochemical analysis, a glassy carbon electrode (GCE) was modified with graphene/TiO2 (Gr/TiO2) nanocomposite. Initially, as-synthesized Gr/TiO2 nanocomposite was characterized by field-emission scanning electron microscopy (FE-SEM), EDS, E-Mapping, and UV-Visible Spectroscopy. Secondly, Gr/TiO2 modified GCE was prepared which displayed high electrocatalytic activity towards nicotine in physiological condition. This new electrochemical sensor showed an excellent response for nicotine detection. The peak currents associated with the oxidation of nicotine exhibited a linear increase relative to the spiked concentrations. Finally, the fabricated sensor provided satisfactory stability, and reproducibility during the analysis of nicotine. Thus, we believe that this composite material can be considered for development of new sensors for nicotine detection in various biological samples.
Experimental Study on the Mechanical Properties of Copper-Diamond Composites Fabricated via Powder Metallurgy
Authors: Robinston Jeyasingh K , Mohammed Mohaideen M , Sriya Bandi , Anusha Kolakani , Nagaraju Veeraboina 
Published: October 2024

Abstract
This study investigates the mechanical properties of Copper/Diamond hybrid composites reinforced with Silicon Carbide, fabricated through the powder metallurgy process. The inclusion of Silicon Carbide as a reinforcement material alongside Diamond was aimed at reducing voids and cavities and enhancing the overall mechanical properties of the composites. Due to their outstanding mechanical properties and high aspect ratio, Diamonds are considered ideal for reinforcing composites. The study involved two different Diamond concentrations (5% and 10%) within the hybrid composites. The mechanical properties, including compressive strength, hardness, and wear resistance, were assessed following the standards set by the American Society for Testing and Materials (ASTM). The findings revealed that even small amounts of Diamond significantly improved the mechanical properties of the composites, and there were also enhancements observed in composites without Diamond. Fractured samples from compression and hardness tests were analyzed using optical microscopy (OM) to observe the distribution and alignment of Copper and Diamond. The insights gained from this research offer valuable guidance for enhancing the mechanical properties of Copper/Diamond composites through Silicon Carbide reinforcement, making them suitable for use in automotive and electrical applications.
Study on Enhanced Transfer Characteristic in Heat Exchanger Tubes with Low Fins
Authors: Naveenprabhu V , veeramanikandan K , Ragu S , Hariharan S , Sravanthi Grandhamala 
Published: October 2024

Abstract
Low fins are one of the modern method of improving the performance of the heat in the heat transfer components and it is the integral part of the specialized category of tubes that has to be designed for the sophisticated heat transfer industrial equipment’s. these category of tubes are mostly used in the high power consuming and low area required applications like refrigeration, petrochemical process, and power generations where the efficient had heat exchanger in crucial. The abstract underscores the importance of meticulous heat exchanger studies, especially in sensitive applications like ethanol fuel mixtures, considering factors such as heat transfer efficiency, corrosion resistance, mechanical properties, and cost-effectiveness. Ultimately, it stresses the pivotal role of low fin tubes in optimizing heat exchange processes, enhancing efficiency, and cost-effectiveness through their innovative design and manufacturing techniques.
Design and Analysis of Work Holding Device for Convex Milling
Authors: Krishnaraj J. , Venkata Phani Babu V. , Ganesh C. S N S , Aditya M. , Sai Srimanth P. 
Published: October 2024

Abstract
The machining of convex surfaces is a common requirement in many industries, including aerospace, automotive, and manufacturing. However, the process can be challenging due to the need for precise work holding and tool positioning. Inaccurate work holding can result in poor surface finish and dimensional inaccuracies, leading to increased production costs and reduced product quality. This work aims to develop a work-holding device for milling convex surfaces. The aim of this work is to improve the efficiency and accuracy of the machining process by providing a stable and adjustable work-holding solution. This device allows the machining of a maximum radius of 180mm. The designed work-holding device allows the stationary positioning of the tool while the workpiece is moved to machine the desired convex shape. This approach enables better control over the machining process, results in better machining and shape accuracy. The proposed device provides exceptional rigidity and ensures accurate milling of convex surfaces.
Numerical investigations of the buckling behaviour of an integrated stiffened panel
Authors: Elumalai E. S. , Asokan R. , Thejus C. M. , Uday Ranjan Goud N. , Sivamani Seralathan 
Published: October 2024

Abstract
Stiffened panels are used to reduce the displacement by loading. This study deals with the numerical simulation of stiffened panels in which the stiffeners are integrated to the panel. The panel is subjected to compressive load along the stiffener axis. This induces buckling stress in the structure. In this study, a Tee shaped stiffener is used for analysis. The focus of the study is to investigate the deformation as well as structural integrity of an integrated stiffened panel by performing buckling analysis and all the comparisons are made with conventional stiffened panel using ANSYS software. The simulation reveals that the integrated stiffened panel gives an improved performance than the conventional design. The integrated stiffened panel shows around 1.2% higher strain rate, stress capacity higher by nearly 4.864% and around 20.25% deformation resistance variation compared to the conventional panel. Therefore, the integrated stiffened panel is found to be an acceptable alternative to the conventional stiffened panel design.
Multi-objective parametric modelling during minimum quantity lubrication machining of Incoloy 800H
Authors: Reddy Paturi Uma Maheshwera , Nandan Konidhala , Vamshi Nudurupati Achintya , Sahasra Bhojane Omkar Sunil , Reddy Goturi Sheshank , Reddy N.S. 
Published: October 2024

Abstract
This study utilizes multi-objective optimization to minimize surface roughness and maximize material removal rate (MRR) during minimum quantity lubrication (MQL) turning of Incoloy 800H under different cutting conditions. The correlations among process conditions are examined using response surface methodology (RSM) and the desirability function. The obtained optimal values for the cutting parameters are as follows: 125 m/min cutting speed, 0.1 mm/rev feed rate, and 0.05 mm depth of cut. The predicted surface roughness and MRR were 0.585 µm and 4377.932 mm3/min, respectively. A correlation coefficient of 0.9006 for surface roughness and 0.9979 for MRR indicates a significant degree of agreement between experimental data and model predictions. The results show that the application of RSM can help in identifying optimal cutting conditions and minimize the need for extensive experimental trials in machining.
Design and Structural Analysis of an Aircraft Landing Gear strut under Static Loading Condition
Authors: Nagaraj Goud B. , Soniya Sai S , Bhavan K S , Bhavana B , Murali Krishna L 
Published: October 2024

Abstract
Aircraft Landing gear strut is major structural components which takes various types of loads. Main landing gear bears with impact load while the nose landing gear bears side, break and impact loads. In aerospace industry, weight reduction is an important aspect and use of composite plays a major role by providing better strength to weight ratio. In this work, weight of landing gear strut. A light weight aircraft is selected for the analysis. The design of landing gear strut is carried out as per the CS-23 Certification specification. Computational analysis is carried out on the existing design with appropriate loading and boundary conditions to arrive at optimized landing gear strut cross section. Fatigue life for the composite landing gear strut is also estimated using SN curve approach. With the optimization of existing titanium alloy landing gear strut, mass of the strut is reduced by only 4.5%. Stresses and deflections under all loading conditions are within the acceptable limit. The static structural analysis was carried out to compare with different materials and as per dimensions of the strut. Maximum Stresses of strut performances for aircraft landing gear is very significant role for determination of safety and stability of structural assemblies The design of Boeing 747 nose landing gear structure and using FEA package of ANSYS workbench is carried the static structural analysis is done and determined the deformation and stresses for various material with comparison of selected material such as Titanium alloy, Aluminum alloy and Steel alloy and studied their material characteristic to design a landing gear structure to improve the strength and stiffness.
Optimization of Process Parameters In Wire-Edm for Stainless steel -304 By Using Grey-Relational Analysis
Authors: Deepthi N , Keerthi N , Nagamani K , Saleemuddin S.MD , Dilip Kumar M. 
Published: October 2024

Abstract
A particular type of thermoelectric machining called wire electric release machining (WEDM) can leave behind intricate geometries or varying degrees of hardness “The Wire Electro Discharge Machining (WEDM) technique holds significant importance in the precision cutting of intricate and complex component shapes across all conductive materials.”. Appropriate modeling is necessary to enhance the machining economics and product accuracy of wed med parts. Numerous researchers have already made attempts in this direction. Brass wire is used as the electrode in the current investigation and stainless steel alloy 304 as the work material. Variations are made to parameters including wire feed, servo voltage, pulse on/off duration, and material removal rate (MRR) in order to optimize surface roughness (SR). Various process parameters were used to machine the work material.
Taguchi based approach for multiparameter optimization in Turning Haynes 25
Authors: Tajne Amit , Ramani Hardik , Joshi Yogesh , Gupta T V K 
Published: October 2024

Abstract
This study aims to understand the role of machining parameters in turning Haynes 25 alloy. In this work, experiments as per Taguchi L9 orthogonal array are performed considering cutting speed, feed rate and depth of cut as input parameters. Here the objective is to generate the cutting parameters to achieve minimum tool wear and surface roughness. Surface roughness affects the component’s performance and integrity, and tool wear play is a key response to achieve the required finish. The methodical parameters are cutting speeds as 500, 1000, and 1500 rpm; depth of cuts as 0.6, 1.2, and 1.8 mm; with feed rates as 0.05, 0.1 and 0.15 mm/rev respectively. The tool wear and surface roughness are statistically investigated using S/N ratio followed by regression analysis. The results indicate that with cutting speed of 500 rpm and feed rate of 1.2 mm/rev with depth of cut as 1.2 mm, the tool wear and surface roughness are minimum, resulting in optimum conditions.
Finite element analysis on buckling behaviour of integrated wing spar
Authors: Elumalai E. S. , Asokan R. , Vasanth Naidu Adduru Veda Sai , Arunkumar K. , Seralathan S. 
Published: October 2024

Abstract
With advancement in manufacturing processes like 3D printing, it is easy to manufacture the components. This study focuses on the numerical simulation of an aircraft wing and spar as an integral component. The study examines the buckling behaviour of the integrated wing spar, a critical load carrying member in the wing. The spar is connected to the wing so that the buckling analysis can be performed on the wing as well. CATIA software is used to design the integrated wing spar model as well as the conventional wing spar model, and ANSYS software is used to perform FEA analysis for both the wing spars. Under different loading circumstances, the structural performance of both the wing spars is compared. Buckling occurs in both the spars. But the stress acting on the conventional spar is 280MPa whereas, the stress acting the integrated wing spar is 348MPa which is comparatively higher by 13.5%. Based on the buckling stress, strain, weight savings and cost, the results reveal that the integrated wing spar design is better than the conventional wing spar design.
An investigation into process parameters optimization for ultimate tensile strength of friction stir welded Al-10Mg-8Ce-3.5Si joint: Numerical and Design of Experiments approach
Authors: Duncan Agweu Remmy , Suresh Udayagiri , Sai Mukthinuthalapati Satya , Udayakiran M , Pittala Raj Kumar , Yelamasetti Balram , Abhishek D 
Published: October 2024

Abstract
The Friction stir welding (FSW) process has become a popular method of joining metals, due to its clean and efficient nature of producing welds. The input process parameters such as tool rotation speed, tool feed and tool pin shape are the deciding parameters to get an optimum output quality characteristic such as ultimate tensile stress (UTS) of the weld joint. In this study, earlier published experimental results were used to find out optimum process parameters for UTS by applying Taguchi full factorial design technique and numerical analysis using Abaqus. A governing equation which can easily determine and maximize the UTS of the weld joint is generated. The ANOVA of means and Signal to Noise ratios for UTS were used to assess the influence of each process parameter on the output UTS. The main effect plots of the ANOVA results demonstrated that the tool rotation speed at level 1 or 800 rpm, tool feed at level 3 or 20 mm/ min and tool pin shape at level 1 or triangular cross section gave the optimum results for the output UTS. The percentage contribution of each process parameter on the UTS were investigated. Optimized process parameters to get the highest UTS were suggested.
Application of Taguchi-Grey approach for wire electro discharge machining of aluminium alloy
Authors: Thejasree P , Manikandan N , Raghurami Reddy D , Kumar Jyothula Sunil , Kumar Peyyala Pramod 
Published: October 2024

Abstract
AA 7075 has been recognized as a highly suitable material for numerous applications in engineering due to its exceptional characteristics, including enhanced ductility and decreased susceptibility to fatigue. It is widely used in the aerospace industry and shows promise for several other technical applications. Its exceptional corrosion resistance makes it the favoured choice for many applications. Producing complex-shaped components using traditional machining methods is difficult. Various advanced machining techniques have been developed to prevent such difficulties. Wire Electrical Discharge Machining (WEDM) is a distinct technique that belongs to the broader classification of Electrical Discharge Machining (EDM). This study utilizes Taguchi’s methods to investigate the Wire Electrical Discharge Machining (WEDM) of AA 7075 aluminum alloy. This study utilizes a natural dielectric medium in order to reduce the negative impacts on the environment. The investigation includes a wide range of performance indicators, including material removal rate, surface roughness, and tolerance errors. ANOVA is a statistical method used to assess the importance of process factors. The outcomes of this investigation are much helpful for the manufacturers to make the quality parts precisely.
Examination of the Impact of suitable Process Parameters on the Cold Extrusion of AA5754
Authors: Harika Chowdary M , Gowthami K , Nayeem Shaik , Nirmala Devi E. , Ananda Rao G 
Published: October 2024

Abstract
High strength and exceptional non-corrosive properties make aluminum alloy AA5754 ideal for use in vehicle cages, aerospace, and marine applications. The purpose of this work is to assess how process parameters affect the cold extrusion of grade 5754 aluminum alloy. For the investigation, process variables like changing force, die angles, and lubricants are taken into account. Solid Works is used to develop and model the die, while EN13 steel is the material used in its manufacture. To determine how process parameters affect cold extrusion, full factorial layout of experiments is taken into consideration. The Universal Testing Machine is utilized for conducting experimental experiments on cold extrusion. Testing is done on the material’s hardness, tensile strength, and surface roughness following cold extrusion. Results-based suggestions for suitable applications are made.
Microstructure analysis of SS316L using Selective Laser Melting
Authors: Prathyusha Chityala , Jani S P , Uppalapati Sudhakar , Raghavulu K. V , Lakshmi Kala K. , Ahilan C. , Kumar Ashish , Chandrashekar Rakesh , Vemanaboina Harinadh 
Published: October 2024

Abstract
Additive manufacturing has emerged as a prominent and expanding domain in materials engineering, driven by a rising need for customized, highly accurate, and readily available production. Applying the selective laser melting (SLM) technique further is delayed by the layer-by-layer melting and solidification of the metal powder. The impeller constructions were extracted from a substrate, with the bending curvature as an indicator of the stress level. This research aims to analyze the quality of impeller components, surface roughness, and microstructural features of components made for the SS316L. The microstructure examinations show the part is free from the surface and internal defects are verified.
Numerical Analysis of the Structure of an Aluminium Alloy Piston: A Comprehensive Study
Authors: Ganapathi R , Omprakash B , Lava Kumar P , Pittala Raj Kumar , Yelamasetti Balram , Abhishek D 
Published: October 2024

Abstract
In this research, our focus centers on investigating the stress distribution across various piston materials employed in internal combustion (IC) engines. Recognizing the pivotal role of the piston as a critical and intricate component within the engine, its sustained optimal condition is imperative to ensure the engine’s proper functionality. Mechanical stress emerges as a primary factor leading to piston failure. Consequently, our study delves into the analysis of mechanical stress exhibited by different piston materials, aiming to gain insights into their performance under various conditions. The exploration of stress distribution across diverse materials contributes valuable information for enhancing the durability and reliability of pistons, thereby advancing the overall efficiency and longevity of IC engines.
A study on friction stir welding with dissimilar aluminium alloys using various tool profiles
Authors: Sukesh O.P. , Menachery Nice , Abin C.T. , Deepanraj B. 
Published: October 2024

Abstract
The advantages of Friction Stir Welding (FSW) over conventional fusion welding processes have led to its increased attention in joining aluminum alloys. This study investigated the effects of varying welding parameters, including rotational speed, traverse feed rate, and pin profile, on the quality and mechanical properties of FSW joints between AA2024 and AA6061 alloys. The experimental work involved conducting FSW experiments using a pin tool with different profiles, such as cylindrical and hexagonal designs. Additionally, rotational speeds and traverse feed rates were varied to evaluate their impact on the weld quality and performance. The welding process was performed on plates of AA2024 and AA6061 alloys, and the resulting joints were examined. This study provided valuable insights into the friction stir welding of AA2024 and AA6061 alloys, highlighting the significance of welding parameters on weld quality and mechanical properties. The results could aid in the development of optimized welding conditions for specific applications, promoting the wider adoption of FSW in the automotive, aerospace, and other industries requiring high performance aluminum joints.
Machine Learning Advancements in Machining Processes: A Comprehensive Review for Manufacturing Optimization
Authors: Suthahar P , Palanikumar K , Ponshanmugakumar A , Anbuchezhiyan G. 
Published: October 2024

Abstract
Machine learning (ML), a subset of AI, allows computer programs to autonomously learn from data. This self-learning process, also known as “self-learning,” has witnessed significant advancements, particularly in Deep Learning (DL) techniques, applied in strategy games and autonomous vehicles. ML’s potential in various industries, including operation management, is evident, with studies indicating its pivotal role in transitioning production systems to Industry 4.0 standards. Despite its prevalence in multinational corporations, industrial applications of ML remain limited. This study project aims to illuminate both the benefits and challenges of employing ML algorithms in operation management, facilitating easy adoption by professionals. By organizing pre-2000 articles based on relevant algorithms and application areas, along with keyword analysis to identify popular research domains, the project aims to address growing interest and publication trends. Notably, unsupervised and deep learning methods have garnered significant attention in recent years, reflecting a rising interest in addressing issues such as bug detection and output planning in operation management. As such, ML is poised to play a crucial role across various facets of operation management in the coming years.
Research on new structure of high voltage 4H-SiC power UMOSFET devices
Authors: Xu Binyi , Zhao Yuhao , Wei Yuan , Hu Kaifu , Zhang Xiaodong , Shen Chong 
Published: October 2024

Abstract
In this article, we investigate a novel optimized 4H-SiC U-shaped groove gate MOSFET (UMOSFET) structure, which is characterized by improving the gate to a stepped gate structure, adding an n-type wrapped p+region at the bottom of the gate, and finally adding an unevenly distributed superjunction p/n structure at the bottom. We improve the problem of the gate oxygen electric field at the corner by using a stepped gate structure. Next, we design an n-type doping encapsulation (nw) region that wraps around the p+gate oxygen protection zone with a higher concentration than the drift zone to reduce the conduction resistance. Finally, a super junction structure was designed to reduce conduction resistance and increase breakdown voltage. After testing, the performance of the breakdown voltage has been improved by 54% compared to the initial structure.