2018
DOI: 10.1016/j.aej.2018.07.010
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Development of knowledge based parametric CAD modeling system for spur gear: An approach

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Cited by 28 publications
(5 citation statements)
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“…The operation speed 𝑣 is the working speed of the vehicle, which will vary due to the influence of the ground and the driver. When the working speed increases, the feeding quantity will also increase (Reddy and Rangadu, 2018). To this end, it is necessary to control the operating speed 𝑣 of the harvester to control the feeding quantity of the harvester.…”
Section: Test Principlementioning
confidence: 99%
“…The operation speed 𝑣 is the working speed of the vehicle, which will vary due to the influence of the ground and the driver. When the working speed increases, the feeding quantity will also increase (Reddy and Rangadu, 2018). To this end, it is necessary to control the operating speed 𝑣 of the harvester to control the feeding quantity of the harvester.…”
Section: Test Principlementioning
confidence: 99%
“…By incorporating knowledge-based engineering, rules of AGMA (American Gears Manufacturer Association), and parametric modeling in CAD. Reddy and Rangadu [11] developed a knowledge-based parametric CAD modeling system approach for spur gear design to reduce the design time. Pathak and Agrawal [12] proposed an analytical model for an excellent design of the knowledge-based system to enhance the performance of the organization.…”
Section: Introductionmentioning
confidence: 99%
“…Coen and others used fuzzy technology to build a control framework, and realized automatic operation of the combine based on model predictive control technology, reducing labour intensity (Coen et al, 2006). Baruah and others built the mathematical model of the whole machine based on the overall energy consumption (Baruah et al, 2005); Reddy et al fused explicit knowledge of design and implicit knowledge of design intent from the perspective of mechanical modeling technology of intelligent agricultural machinery to improve the flexibility, adaptability and reusability of the model (Reddy et al, 2018). Some students of China Agricultural University used digital modeling for high-end complex intelligent agricultural machinery and equipment to form a digital design technology system platform suitable for typical agricultural equipment products such as tractors and combine harvesters (Du et al, 2019;Zhai et al, 2021).…”
Section: Introductionmentioning
confidence: 99%