Analysis of Various Cooling Mechanisms for Plastic Gears Using Decision Tree Algorithms
01 Jan 2021-pp 407-418
TL;DR: The decision trees were able to correlate various gear parameters and material properties with high accuracy to provide the means to select the gears based on three types of torques; from high torque of more than 10,000 N mm to low torques of less than 1000 N mm.
Abstract: Plastic gears are widely used by engineers in various engineering applications due to their reduced noise while working, low cost, lighter weight, chemical resistance, flexibility, and the ability to operate without lubrication. A disadvantage found in these drives is the thermal stresses induced during continuous operation. Incorporating cooling holes into the design of plastic spur gears can reduce the thermal stresses on the gears. These cooling holes promote increased stress and tooth deflection, thus exerting a negative effect. Various machine learning algorithms like the decision tree algorithms are used to correctly identify the gear specifications based on the amount of torque applied from factors like material, hole sizes, and maximum force that can be applied at certain temperatures pertinent to regular working conditions maintaining a factor of safety of 2. The decision trees were able to correlate various gear parameters and material properties with high accuracy to provide the means to select the gears based on three types of torques; from high torques of more than 10,000 N mm to low torques of less than 1000 N mm.
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TL;DR: In this paper, a numerical simulation of the influence of the torque transmitted by the actions of a pinion and a wheel made with a new HDPE40 composite material is presented along with the applied forces that induce the stresses and deformations.
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TL;DR: In this paper , a single stage reduction gearbox was designed and optimized using Fusion 360. The velocity ratio for the gearbox is set as 4.5 Nm, which is the minimum required torque and traction to drive the wheels.
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30 Aug 2022
TL;DR: In this article , a 3-stage gearbox is designed for mining conveyer belt with the objective of reducing the power consumption of the belt by reducing the gear ratio and the total deformation.
Abstract: AbstractReduction Gearbox are widely used in many industrial applications like Conveyer belts in underground mines, Extruders, Cranes, Crushing Machine, etc. which require high power to function. This paper focuses on designing an optimized 3-stage gearbox. 3-Stage gearbox is chosen as it can work under high gear ratio very efficiently and effectively for speed reduction. The motive to develop a new gearbox is to improve in terms of safety, durability, and efficiency. Helical gears are chosen for gearbox design as they are extensively used in industrial operations for power transmission under heavy loads with smoother and noiseless operation. In this paper the gearbox is designed, considering the requirements of a mining conveyer belt. The gearbox is modeled using Solidworks and then analyzed based on finite element analysis method using Ansys workbench. FEA analysis is conducted to measure and analyze the safety factor, shear stress and total deformation. Finally, the optimal design of gearbox is achieved to meet functional as well as reliability requirements in the field.KeywordsIndustrial gearbox3-stage gearboxHelical gearGear analysis
01 Jan 2023
TL;DR: In this paper , a 1.5 MW wind turbine gearbox with an epicyclic gear and two parallel helical gears is designed, and the total deformation, equivalent stresses, and strains are analyzed.
Abstract: In this paper, a 1.5 MW wind turbine gearbox design is proposed along with the static and dynamic analysis being carried out for different materials. A turbine gearbox with an epicyclic gear and two parallel helical gears is designed, and the total deformation, equivalent stresses, and strains are analysed. The parameters of the turbine box are varied and compared with two different materials to verify the analysed result. The design calculations were carried out using an iterative process in order to obtain the optimum dimensions of the gears. The modelling was done using Fusion 360, and the analysis was carried out in ANSYS. From the results, which are listed in the final analysis, it is proved that steel is better than grey cast iron.
TL;DR: In this article, the authors analyzed the stresses of symmetric and asymmetric spur gears made of stainless steel matrix composites such as SS/TiC, SS/SiC and SS/B2.
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01 Jun 2013TL;DR: This research is focussed on J48 algorithm which is used to create Univariate Decision Trees and discusses about the idea of multivariate decision tree with process of classify instance by using more than one attribute at each internal node.
Abstract: The Data Mining is a technique to drill database for giving meaning to the approachable data. It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make predictions about new data. This research is focussed on J48 algorithm which is used to create Univariate Decision Trees. The research study also discuss about the idea of multivariate decision tree with process of classify instance by using more than one attribute at each internal node. The core concept behind the topic is to get depth knowledge with new areas of research by explore more about data, information, knowledge, data mining techniques, and tools. All the results with experiment on Weka are finally examined.
320 citations
TL;DR: Computational and statistical results demonstrate that the proposed co-evolutionary particle swarm optimization outperforms most of the other metaheuristics for majority of the problems considered in the study.
Abstract: Industries utilize two-sided assembly lines for producing large-sized volume products such as cars and trucks. By employing robots, industries achieve a high level of automation in the assembly pro...
251 citations
TL;DR: The modified J48 classifier is used to increase the accuracy rate of the data mining procedure and Experimental results showed a significant improvement over the existing J-48 algorithm.
Abstract: research work deals with efficient data mining procedure for predicting the diabetes from medical records of patients. Diabetes is a very common disease these days in all populations and in all age groups. Diabetes contributes to heart disease, increases the risks of developing kidney disease, nerve damage, blood vessel damage and blindness. So mining the diabetes data in efficient manner is a critical issue. The Pima Indians Diabetes Data Set is used in this paper; which collects the information of patients with and without having diabetes. The modified J48 classifier is used to increase the accuracy rate of the data mining procedure. The data mining tool WEKA has been used as an API of MATLAB for generating the J-48 classifiers. Experimental results showed a significant improvement over the existing J-48 algorithm. KeywordsDecision Tree, MATLAB, Data Mining, Diabetes, WEKA.
236 citations
TL;DR: In this paper, an extensive investigation of polymer gear (acetal and nylon) friction and wear behavior was presented. But the most interesting observation from the experimental work is the significant difference in wear behaviour when running acteal against nylon gears, especially the low wear rate when acetal is used as the driver gear.
123 citations
TL;DR: In this article, a study of the tribological behavior of polyamide 66 (PA66) running against itself, in unlubricated, non-conformal and rolling-sliding contact was made.
Abstract: A study has been made of the tribological behaviour of polyamide 66 (PA66) running against itself, in unlubricated, non-conformal and rolling-sliding contact. Tests were conducted over a wide range of loads and slip ratios using a twin-disc test rig. The wear and friction behaviour of unreinforced PA66 is dominated mainly by three major features: a critical slip ratio under a fixed load and running speed, macro-transverse cracks and a layer of film on the contact surface. Both the wear and friction properties of unreinforced PA66 can be improved considerably by filling with 20wt% PTFE, and the tribological mechanisms are changed significantly. This reinforcement prevents both the initiation and propagation of transverse cracks on the contact surfaces which occurred in the unreinforced material. It also decreases both the wear rate and the friction coefficient substantially. The 30wt% short glass-fibre reinforced PA66 also suppresses the transverse cracks from initiation on the surfaces. A thin film on the contact surfaces plays a dominant role in reducing wear and friction of the composite and in suppressing the transverse cracks. These results offer the prospect of enhanced applicability of PA66 in engineering components.
54 citations