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Innovation in Engineering
Published by Researcher and Lecturer Society
ISSN : 30475473     EISSN : 30475473     DOI : https://ie.rlsociety.org/index.php/ie/oai
Core Subject : Engineering,
Engineering
Innovation in Engineering is an international journal dedicated to publishing the latest research in the field of engineering. The journal serves as a platform for researchers, engineers and designers to share their innovative findings, methodologies and insights into the conceptualisation, development and implementation of various techniques. Overall, Innovations in Engineering plays an important role in disseminating innovative research, fostering collaboration and inspiring progress in the ever evolving field of engineering. The journal s rigorous peer review process ensures the publication of accurate and reliable information, thereby enhancing credibility and trust among its readers. It welcomes all contributions related to the latest innovations and developments in Engineering field.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2024): Regular Issue" : 5 Documents clear
Recognition human walking and running actions using temporal foot-lift features Tun, Khin Cho; Tun, Hla Myo; Win, Lei Lei Yin; Win, Khin Kyu Kyu
Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v1i1.1

Abstract

The recognition of human walking and running actions becomes essential part of many different practical applications such as smart video-surveillance, patient and elderly people monitoring, health care as well as human-robot interaction. However, the requirements of a large spatial information and a large number of frames for each recognition phase are still open challenges. Aiming at reducing the number frames and joint information required, temporal foot-lift features were introduced in this study. The temporal foot-lift features and weighted KNN classifier were used to recognize “Walkin and“Running”actions from four different human action datasets. Half of the datasets were trained and the other half of datasets were experimentally tested for performance evaluation. The experimental results were presented and explained with justifications. An overall recognition accuracy of 88.6% was achieved using 5 frames and it was 90.7% when using 7 frames. The performance of proposed method was compared with the performances of existing methods. Skeleton joint information and temporal foot-lift features are promising features for real-time human moving action recognition.
Enhancing the performance of V Rossi wheels for motorcycles through finite element analysis using Solidworks Arifin, Fathony; Vafazov, Farid R.
Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v1i1.3

Abstract

Enhancing motorcycle wheel performance has significant implications for rider stability, maneuverability, and comfort. In this context, finite element analysis has emerged as a crucial method for understanding and enhancing wheel performance. This study aims to delve into the potential of utilizing Solidworks to elevate the performance of V Rossi motorcycle wheels. By blending contemporary engineering principles with advanced simulation technology, the research presents a structural analysis and response of V Rossi wheels to various load conditions. Through innovative design and the integration of Solidworks Simulation, the study seeks to provide profound insights into the motorcycle industry. Solidworks proficiently calculates strain and stress on motorcycle wheel rims, facilitating numeric computation and streamlined design processes. Additionally, Solidworks adeptly handles scaling and meshing while accurately determining the strain and stress required for the wheel rims. The V Rossi wheels are ideally suited for contemporary usage with the ever-evolving modern landscape and the current millennial era.
Hitting the material rail: An exploration of the comparison between Alloy Steel and AISI 1020 Satriawan, Rendy; Baltabekova, Zhazira A.
Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v1i1.4

Abstract

The rail track is a component that directly interfaces with the wheels. Generally, rail tracks serve as the foundation for trains, trams, and similar vehicles, bearing the friction and pressure from the wheels. Rail tracks have the potential for cracking and breaking due to various loads. Many studies have investigated the factors causing rail track fractures. This article employs the Finite Element Analysis (FEA) method using Solidworks research license software. In this simulation, two rail tracks with different materials, AISI 1020 and Alloy Steel, are numerically studied using Solidworks software to determine the most effective material for mitigating the risk of rail track fractures. The fracture risk is then calculated based on the material's fracture strength. The simulation results indicate that the fracture risk of rail tracks using Alloy Steel is lower than that of AISI 1020, thus recommending Alloy Steel as the more suitable material for rail tracks.
Optimization of car crankshaft strength with ductile iron material through Solidworks simulation Ghifari, Kimal Al
Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v1i1.5

Abstract

This study aims to provide crucial insights into the performance of crankshaft designs under various loads and operational conditions. The method employed in this research is finite element analysis, facilitated by SolidWorks software, utilizing Ductile Iron material. Crankshafts crafted from ductile Iron are typically employed in vehicle engines due to their commendable mechanical properties and cost efficiency. The force exerted by the piston on the crankshaft generally ranges from 4500 N to 7500 N. The Factor of Safety within the crankshaft denotes the ratio between its material strength and the maximum stress it experiences during operation. The findings of this research indicate that the highest recorded maximum von Mises stress utilizing ductile iron material is 4.658 MPa, with a corresponding Factor of Safety in the crankshaft of 118.4. Consequently, the resilience of ductile iron crankshafts under varying loads and operational conditions can be ensured through meticulous analysis of crankshaft geometry.
Revitalizing vehicle innovation: Exploring electric car chassis structures through finite element analysis Anggara, Hafidz Dwi
Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v1i1.6

Abstract

The increasing number of motor vehicles contributes significantly to air pollution, resulting in global environmental degradation due to CO2 emissions. Electric cars offer an environmentally friendly solution to this issue. Vehicle chassis plays a critical role as the support structure for various components. This study aims to design an optimal electric vehicle chassis considering weight, safety, and strength aspects, utilizing von Mises stress analysis to assess stress levels and safety factors. The research focuses on determining the chassis' safety factor and stress distribution, employing alloy steel material and subjecting it to a 5000 N force using finite element analysis (FEA). Analysis results show von Mises stress ranging from 0.002 N/mm^2 to 167.549 N/m^2, displacement ranging from 0.000 mm to 1.812 mm, strain ranging from 0.000 to 0.0001, and safety factors ranging from 2.327 to 371,181.531. Consequently, overall simulation on the chassis is targeted to run optimally, which fulfills the objectives of this research.

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