Innovation in 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.
Articles
19 Documents
<![CDATA[Recognition human walking and running actions using temporal foot-lift features ]]>
<![CDATA[Tun, Khin Cho]]>;
<![CDATA[Tun, Hla Myo]]>;
<![CDATA[Win, Lei Lei Yin]]>;
<![CDATA[Win, Khin Kyu Kyu]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i1.1
<![CDATA[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.]]>
<![CDATA[Enhancing the performance of V Rossi wheels for motorcycles through finite element analysis using Solidworks ]]>
<![CDATA[Arifin, Fathony]]>;
<![CDATA[Vafazov, Farid R.]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i1.3
<![CDATA[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.]]>
<![CDATA[Hitting the material rail: An exploration of the comparison between Alloy Steel and AISI 1020 ]]>
<![CDATA[Satriawan, Rendy]]>;
<![CDATA[Baltabekova, Zhazira A.]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i1.4
<![CDATA[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.]]>
<![CDATA[Optimization of car crankshaft strength with ductile iron material through Solidworks simulation ]]>
<![CDATA[Ghifari, Kimal Al]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i1.5
<![CDATA[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.]]>
<![CDATA[Revitalizing vehicle innovation: Exploring electric car chassis structures through finite element analysis ]]>
<![CDATA[Anggara, Hafidz Dwi]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 1 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i1.6
<![CDATA[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.]]>
<![CDATA[Static analysis of boiler feed pump shaft in steam power plants: Enhancing durability and operational efficiency ]]>
<![CDATA[Altarisi, Muhammad Athar]]>;
<![CDATA[Rifelino, Rifelino]]>;
<![CDATA[Sari, Delima Yanti]]>;
<![CDATA[Afnison, Wanda]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 2 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i2.8
<![CDATA[Centrifugal pumps are commonly used in industrial and domestic sectors to transport fluids by increasing their flow rate to a specific pressure. One type of centrifugal pump, the Boiler Feed Pump (BFP), plays a crucial role in steam power plants. Designed for continuous operation, BFP shafts are prone to wear and failure due to extreme operational conditions. This study employs computer-aided simulation using SolidWorks software to analyze von Mises stress, displacement, strain, and safety factors of BFP shafts with three material variations: AISI 4140, AISI 316, and AISI 304. The results indicate that AISI 4140 material exhibits the highest safety factor of 2.7 and the lowest displacement of 0.453 mm. Fatigue simulation also shows that AISI 4140 has the lowest damage percentage and the highest fatigue life. These findings suggest that AISI 4140 is the optimal material choice to enhance the durability and efficiency of shafts in applications requiring high reliability, such as BFPs in steam power plants.]]>
<![CDATA[An Analytical Hierarchy Process (AHP) Approach to Road Maintenance Prioritization: A Case Study in Shan State, Myanmar ]]>
<![CDATA[Tun, Nandar]]>;
<![CDATA[Kyaing, Kyaing]]>;
<![CDATA[Aye, Moe Thet Thet]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 2 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i2.9
<![CDATA[Maintaining rural roads plays an important role in the development of society and economy in Shan State, Myanmar. This study aims to prioritize road maintenance by employing the Analytical Hierarchy Process (AHP). There are four types of pavement distress: roughness, raveling, potholes, edge failure, and bleeding. Data collection was conducted and analyzed in ten rural roads by using an Excel-based tool to evaluate the AHP analysis. The findings significantly discussed awareness of road conditions and pavement maintenance requirements, and R4 had the highest level of priority to maintain. The study also compared the Pavement Condition Index (PCI) method with AHP results, highlighting acceptance and differences. Significant differences were noted for others due to the comprehensive nature of AHP when both methods ranked R5 and R6 typically within the top three. This research provides a systematic and transparent approach for prioritizing road maintenance, enhancing resource optimization and decision-making. Both AHP and PCI methods are integrated, and a comprehensive way is recommended to ensure thorough assessment and optimal use of resources to plan road maintenance. The study also contributes to improving the sustainability and performance of the rural road network, supporting broader economic and social goals in Shan State, Myanmar.]]>
<![CDATA[Experimental evaluation of damage state and failure propagation of infilled frames under the opening effect ]]>
<![CDATA[Htun, Hsunandar]]>;
<![CDATA[Htwe, Khin Su Su]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 2 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i2.11
<![CDATA[In this study, four frame specimens were tested: two with concentric window and door openings in the infills, and two with eccentric window and door openings. The serviceability limit of the infilled state was determined by evaluating the structural behaviour of infilled reinforced concrete frames with openings. The results indicate that frames with centrally located openings exhibit a reduction in lateral load capacity. The damage characteristics are influenced more by the location of the opening than by its percentage. When the opening is positioned closer to the edge of the masonry panel, the structural performance improves. Initial cracking occurs at a lateral drift of 0.2%, while crushing of the masonry panel occurs at approximately 2%. In frames with centrally located openings, the segment near the loaded column is more prone to damage, whereas the segment farther from the loaded column shows increased vulnerability.]]>
<![CDATA[Inflow generation using Thomas- Fiering model for Thaphanseik Reservoir in Myanmar ]]>
<![CDATA[Latt, Yin Nwe]]>;
<![CDATA[Zin , Win Win]]>;
<![CDATA[San, Zin Mar Lar Tin]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 2 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i2.14
<![CDATA[Thomas-Fiering (T-F) model was applied for generating synthetic streamflow for the Thaphanseik reservoir. The Thomas-Fiering model accommodated the non-stationarity of seasonal data. Time series of streamflow are crucial for the planning, design, and management of various water resource systems. In this study, the model was tested using historical data spanning 39 years (from 1985 to 2023). The model’s performance was evaluated by using statistical measurements such as Coefficient of Determination (R2) and Nash-Sutcliffe Efficiency (NSE). Additionally, this model was utilized to generate synthetic streamflow data for the years 2024 to 2100. The logarithmic transformation method was used in order to avoid the negative flows in the synthetic data. In this study, synthesis flow data were generated using different random sequences. The mean, standard deviation and correlation coefficient of different synthetic series were calculated. The calibration process was performed for the periods 1985 to 2016 and validation process was performed for the years 2017 to 2023. Based on R2 value, most suitable synthetic series were chosen. The generated data showed a high goodness of fit, with R² and NSE values. An analysis of the historical and synthetic discharge statistics revealed that the model successfully captured the features of the historical data and integrated them into the generated sequences.]]>
<![CDATA[Exploring how 3D printing parameters affect the flexural strength of ABS materials ]]>
<![CDATA[Anggara, Diki]]>;
<![CDATA[Rifelino, Rifelino]]>;
<![CDATA[Abadi, Zainal]]>;
<![CDATA[Arafat, Andril]]>
<![CDATA[ Innovation in Engineering Vol. 1 No. 2 (2024): Regular Issue ]]>
Publisher : <![CDATA[Researcher and Lecturer Society ]]>
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DOI: 10.58712/ie.v1i2.16
<![CDATA[This research focuses on testing the flexural strength of Acrylonitrile Butadiene Styrene (ABS) materials used in 3D printing by the Fused Deposition Modeling (FDM) method. The objective of this study was to evaluate the mechanical strength of ABS using a full factorial experimental design, applying three main factors such as layer height, infill density and infill pattern. Flexural testing was conducted following ASTM D790 standards. A total of 27 specimens were made by varying the layer height, infill density and infill pattern. The results showed that layer height was the most influential factor on flexural strength, with the highest value of 41.815 Mpa at 0.2 mm layer height, 100% infill density, and line infill pattern. ANOVA analysis supported this conclusion with p values <0.05 for layer height, while infill pattern and infill density showed no significant effect. This study provides guidelines for the use of optimal parameters in ABS-based 3D printing processes.]]>
