Dr. Chunsheng Lu
Curtin University, Australia
Mechanical Engineering Advances (MEA, ISSN: 3029-1232) is an online double-blind peer reviewed, open access journal dedicated to disseminating cutting-edge research and developments in the field of mechanical engineering.
The journal welcomes submissions from worldwide researchers, and practitioners in the field of mechanical engineering, which can be original research articles, review articles, letters, commentaries, and so on.
Please see "Focus and Scope" for detailed scope.
Open Access
Article
Article ID: 1962
by Nikunj Maheta, Amit Sata
Mechanical Engineering Advances, Vol.3, No.1, 2025; 11 Views, 6 PDF Downloads
Investment casting is admired for its ability to produce industrial castings with remarkable precision, exceptional exterior finish and complex designs among diverse industrial application. Traditionally, the complexity of these castings is generally assessed qualitatively while quantitative measurement of this complexity remains largely unexplored. To identify the various parameters that affects the complexity of industrial investment casting, an in-person industrial survey was carried out in one of the major investment casting clusters that accounts for nearly 25% of India’s investment casting foundries. Through this survey it was found that complexity of investment casting is determined by three factors related to geometry, features and manufacturability. These three factors are further driven by 19 elements and 52 attributes. These 52 attributes are further characterised by 212 meta-attributes. This research focuses on applying multi-criteria decision-making methods to quantify the complexity affects in manufacturing industrial investment castings. Numerous methodologies within the domain of Multi-Criteria Decision-Making (MCDM) have been explored to determine the appropriate weightage for the factors, elements, attributes and meta-attributes involved. It was observed that for the specific problem mentioned, the Weighted Criteria Approach (WCA) and Analytical Hierarchy Process (AHP) were identified as suitable choices, aligning well with the required level of accuracy. The result obtained through these methods were used to compute the complexity of industrial castings. The proposed complexity index was validated using various industrial castings and proved to be a valuable tool for designers in adopting investment casting process for producing complex castings.
Open Access
Article
Article ID: 1921
by Mahmoud G. Elkasrawi, Marah A. Elsiedy, Hesham A. Hegazi
Mechanical Engineering Advances, Vol.3, No.1, 2025; 817 Views, 513 PDF Downloads
Plastic gears offer numerous advantages, poised to increasingly supplant metal gears across various applications. Notably, they boast silent operation, resistance to corrosion, and lightweight properties which make them ideal for wind turbine systems. Moreover, the expanding array of plastic materials, including eco-plastics and their natural fibre composites, underscores the imperative for ongoing research into plastic gears and their composites. Addressing existing challenges is pivotal to fully harnessing their potential in sustainable development efforts. The wear of plastic gears is an important factor in plastic gear design and optimization. This paper primarily examines wear assessment in polypropylene (PP) gears by proposing and implementing a novel approach to measure the amount of wear on gear tooth profile using an image processing technique. By subjecting plastic gears to wear experimentation and employing direct image processing methods, the percentage of damage can be accurately evaluated. These percentages were 0.2% and 2.5% for 2 and 5 hours respectively. This underscores the boundless possibilities of integrating image processing techniques into the assessment of plastic gears, paving the way for deeper exploration and optimization of polymer materials for plastic gear manufacturing.
Open Access
Perspective
Article ID: 1950
by Maosheng Zheng, Jie Yu
Mechanical Engineering Advances, Vol.3, No.1, 2025; 980 Views, 62 PDF Downloads
In the present article, it attempts to present the determination of optimal parameters of machining processes by means of probabilistic multi-objective optimization (PMOO), in which the optimal objectives (attributes) are fundamentally divided into beneficial type and unbeneficial type, moreover all attributes of both beneficial type and unbeneficial type are evaluated separately with equivalent manner to get their partial preferable probability. Finally, the total preferable probability of each alternative is obtained by the product of all partial preferable probabilities, which is the unique and decisive representative of the alternative to join the competitive optimization, the optimum alternative is with the highest total preferable probability. An example of parametric optimization and determination of aerospace component with Electro Chemical Machining (ECM) is taken to illuminate the procedure. In the case of ECM, the current, voltage, and feed rate are as the optimal parameters to be investigated, while Material Removal Rate (MRR), and Surface Roughness (SR) are the optimal objective responses to be measured. The experimental runs were designed using an L 27 Taguchi orthogonal array. In the assessment of PMOO for ECM, the objective MRR belongs to the beneficial attribute, and the objective SR is as the unbeneficial attribute. The novelty of this work is to reflect the simultaneity and the irreplacement of optimization of objectives MRR and SR in the optimal system. The evaluated results reveal that the optimized experimental scheme is the alternative 8, which is with the optimal responses of MRR of 280.112 g/min and SR of 0.45 mm, the corresponding optimum experimental parameters are voltage of 12 V, electrolyte flow rate of 12 m/s and tool feed rate of 0.4 mm/min, respectively. The achievement of the present article indicates the validity of the corresponding approach and algorithm.
Open Access
Article
Article ID: 1405
by Shabla K., Chitaranjan Pany
Mechanical Engineering Advances, Vol.3, No.1, 2025; 693 Views, 475 PDF Downloads
A structure’s form and shape influence how it behaves when loaded. This was achieved by contrasting the stiffened plate’s performance with that of a solid plate made of the same material and volume. The results have demonstrated that bending stress in stiffened plates is decreased when a solid plate of the same material and volume is transformed into a stiffened plate. Because stiffened plates have a higher strength to weight ratio than solid plates, this supports the recommendation of stiffened plates for a variety of technical applications. In order to determine the impact of stiffener orientation on bending stress reduction in stiffened plates, additional investigations were carried out on a number of plates. An investigation was carried out to determine the ideal stiffener angle in a stiffened plate that could offer the least amount of stress. The current work offers insightful information about particular stiffened plate design characteristics that can be used in a variety of engineering contexts.
Open Access
Review
Article ID: 1746
by Lili Zhang, Xiaowei Jia, Qing Chang, Xin Liu, Zhicheng Zhang, Yanghao Cao, Junjie Liu, Yizhao Yang
Mechanical Engineering Advances, Vol.2, No.2, 2024; 3313 Views, 3066 PDF Downloads
In recent years, the development of machine vision research is rapid in several areas. In order to promote the better development of machine vision research, it is necessary to clarify its development and application direction. At present, there are few reviews on the application direction of machine vision. This paper sorts out the application of machine vision in various fields, and summarizes the current application status of machine vision from four main functions: recognition, measurement, classification and detection. This paper mainly introduces the improvement of different algorithms of machine vision and its application in medical, agriculture, manufacturing and other industries, providing guidance for the selection of machine vision research direction.
Open Access
Article
Article ID: 1752
by Shehadeh Kaskous, Khaled Al-Najjar, Michael W. Pfaffl
Mechanical Engineering Advances, Vol.2, No.2, 2024; 4821 Views, 4480 PDF Downloads
The ideal milking system meets the physiological needs of dairy cows to increase milk yield, achieve better milk quality and maintain healthy udders. Therefore, the settings of the milking machine and the properties of the teat cup liners are very important on dairy farms. The aim of the present study was to test a new teat cup liner “Stimulor StressLess” (SSL) in two commercial dairy farms and to investigate its influence on daily milk production and quality having different experimental settings. For this purpose, 40 dairy cows of different breeds in Tirol, Austria (farm 1) were investigated for 6 months, where 3 months represent the control phase (Gr 1) and milked with conventional teat liners, and the second 3 months phase (Gr 2) was the experimental phase and milked with SSL teat cup liners. On the second farm 90 dairy cows of Simmental breed in Baden-Württemberg, Germany (farm 2) were examined for one year equally divided in the first 6 months of control phase and second 6 months of treatment phase. All cows on both farms had the same stage of lactation and lactation number. During the study period, the daily milk production of each cow was recorded and milk samples were collected to determine the ingredients. The results showed that higher daily milk production and better milk quality were observed after using the new SSL teat cup liner in the existing milking machines. However, the use of the new teat cup liner SSL was more efficient in the longer treatment in farm 2 than in farm 1. In addition, after the use of the new SSL teat cup liner, the udders remained healthy throughout the study period, showing lower somatic cell counts (SCC). It can be concluded that high milk yield and better milk quality can be achieved by using SSL teat cup liners, as they are adapted to all teat shapes and dimensions.
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