ISSN (Online): 3139-7689

Journal Issue

Volume 1 β€’ Issue 2 β€’ May-June 2026

01
Peer ReviewedOpen Access

ASSESSMENT OF INTERNAL CURING EFFICIENCY OF PEG-400 THROUGH STRENGTH CHARACTERIZATION OF CONCRETE

Anil Kumar, Dolendra Patel
Paper ID: IJSRMES2026012Pages: 1–7
Keywords: Self-curing Concrete, PEG-400, Internal Curing, Compressive Strength, Split Tensile Strength, Concrete Technology
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Abstract

Proper curing of concrete is essential for attaining required strength and long-term durability. This study investigates Polyethylene Glycol-400 (PEG-400) as an internal curing agent for M20 and M30 grade concrete. Conventional and self-curing concrete mixes containing different percentages of PEG-400 were evaluated through compressive and split tensile strength tests at different curing ages. The results indicate that PEG-400 improves moisture retention and supports adequate strength development. A dosage of 1.5% PEG-400 produced the highest compressive strength, while 1.0% PEG-400 provided favorable tensile strength performance.

Cite this Article

A. Kumar and D. Patel, β€œAssessment of Internal Curing Efficiency of PEG-400 Through Strength Characterization of Concrete,” Int. J. Sci. Res. Mod. Eng. Sci., vol. 1, issue 2, pp. 1–7, 2026.

02
Peer ReviewedOpen Access

ANALYSIS OF VORTEX FLOW FIELD AND TEMPERATURE SEPARATION IN A RANQUE-HILSCH VORTEX TUBE WITH A MODIFIED NOZZLE

Chaitanya Kotecha, Abhishek Singh
Paper ID: IJSRMES2026013Pages: 8–13
Keywords: Vortex Tube, Cold Temperature Separation, Hot Temperature Separation, ANSYS, CFD
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Abstract

The vortex tube is a mechanical device without moving parts that separates compressed air into hot and cold streams. This study numerically investigates the flow behaviour and temperature separation inside a Ranque-Hilsch vortex tube with modified nozzle configurations. Three-dimensional CFD simulations are performed using ANSYS Fluent with an RNG turbulence model. Grid-independence testing and comparison with published numerical and experimental results are used to validate the simulation approach and assess the influence of nozzle geometry on vortex-tube thermal performance.

Cite this Article

C. Kotecha and A. Singh, β€œAnalysis of Vortex Flow Field and Temperature Separation in a Ranque-Hilsch Vortex Tube with a Modified Nozzle,” Int. J. Sci. Res. Mod. Eng. Sci., vol. 1, issue 2, pp. 8–13, 2026.

03
Peer ReviewedOpen Access

A REVIEW OF PERFORMANCE AND DYNAMIC ANALYSIS OF ROBOTIC ARM MANIPULATOR

Vishal Ratnam, Amit Sarda
Paper ID: IJSRMES2026015Pages: 14–17
Keywords: Dynamic Analysis, Robot Arm Manipulator, Simulation, Optimization
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Abstract

This study reviews modeling, simulation, optimization, kinematics and dynamic analysis methods used for robotic arm manipulators. The work represents an initial phase toward broader research involving robot trajectory generation. Recent approaches to kinematic and dynamic analysis, motion optimization and robot trajectory modeling are discussed with emphasis on improving the efficiency and performance of industrial robotic systems.

Cite this Article

V. Ratnam and A. Sarda, β€œA Review of Performance and Dynamic Analysis of Robotic Arm Manipulator,” Int. J. Sci. Res. Mod. Eng. Sci., vol. 1, issue 2, pp. 14–17, 2026.

04
Peer ReviewedOpen Access

AN INVESTIGATION INTO THE OPTIMIZATION OF PROCESS VARIABLES AND THEIR EFFECTS IN ARC WELDING

Sumit Dubey, Manish Gangil
Paper ID: IJSRMES2026016Pages: 18–22
Keywords: Arc Welding, Process Parameter, Response, Optimization
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Abstract

Arc welding is widely used for joining similar and dissimilar materials, and the quality of a welded joint depends strongly on process parameters such as current, voltage and welding speed. This study examines approaches for determining optimal welding-process settings to achieve desired weld quality and mechanical properties. The work reviews optimization methods capable of reducing the lengthy trial-and-error procedure traditionally used for selecting suitable welding parameters.

Cite this Article

S. Dubey and M. Gangi, β€œAn Investigation Into the Optimization of Process Variables and Their Effects in Arc Welding,” Int. J. Sci. Res. Mod. Eng. Sci., vol. 1, issue 2, pp. 18–22, 2026.

05
Peer ReviewedOpen Access

A SURVEY APPROACH OF NUMERICAL CALCULATION OF ULTIMATE TENSILE STRENGTH OF COMPOSITES

Ranveer Singh, Pulivarti Srinivasa Rao
Paper ID: IJSRMES2026017Pages: 23–27
Keywords: Die Casting Process, Gating, Process Parameter, Response, Optimization
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Abstract

Composite materials consist of two or more constituents combined to obtain enhanced structural and mechanical characteristics. This survey discusses composite material classifications and their mechanical properties, with emphasis on analytical and numerical methods used to evaluate structural behaviour. Previous research involving laminated composite plates, vibration characteristics, finite-element methods and related numerical techniques is reviewed as a foundation for evaluating the mechanical strength of composite structures.

Cite this Article

R. Singh and S. R. Pulivarti, β€œA Survey Approach of Numerical Calculation of Ultimate Tensile Strength of Composites,” Int. J. Sci. Res. Mod. Eng. Sci., vol. 1, issue 2, pp. 23–27, 2026.

06
Peer ReviewedOpen Access

STUDY ON OPTIMIZATION OF GATING SYSTEM FOR REDUCING DEFECT IN DIE CASTING PROCESS

Pratik Choubey, Manish Gangil
Paper ID: IJSRMES2026018Pages: 28–32
Keywords: Die Casting Process, Gating, Process Parameter, Response, Optimization
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Abstract

Die casting is a high-volume manufacturing process widely used for producing lightweight metal components with limited post-machining requirements. This study focuses on reducing defects in die-cast components through optimization of the gating system and process parameters. The influence of injection pressure and dimensional factors on component quality is considered. Response Surface Methodology, Genetic Algorithm techniques and ANOVA are used to evaluate process responses and identify influential parameters and their interactions.

Cite this Article

P. Choubey and M. Gangil, β€œStudy on Optimization of Gating System for Reducing Defect in Die Casting Process,” Int. J. Sci. Res. Mod. Eng. Sci., vol. 1, issue 2, pp. 28–32, 2026.