Decisions in gear train transmission design

Ognjanović, Milosav

doi:10.1007/bf01608352

Cited by 10 publications

(9 citation statements)

References 1 publication

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“…A type setting up the intermediate shaft gears as single gears and double gears, has been focused [6]. Except of the shaft coordinate calculation, an automated gear design is taken into consideration independently [7] or in a way in which the gear is connected to an automated entity by a decision structure [8]. Shafts and gears can be automatically designed and optimized after the connection forms are specified [9], [10].…”

Section: Development In Automating a Local Gearing Systemmentioning

confidence: 99%

A gearing forest automaton to automate a gearing system

Zhao¹,

Yang²,

Zhao³

2020

Preprint

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A gearing system design completely depends on the designer’s skills and experiences because there is no theory or method to standardize the design process. In this paper, a gearing forest automaton is presented to implement automatic formation of design schemes from the original data without any human intervention. Firstly, a gearing tree is defined to describe a gearing system, and a two-shaft connection by M-transmission shafts (M ≥ 0) and an N-shaft connection by a transmission shaft (N ≥ 3), which can iteratively be combined into any gearing system, are denoted with data structure and automatically achieved. Secondly, the connection methods are both the input alphabet and transition functions of the gearing forest automaton. The start state comprises the original data and the accept state outputs the design schemes. Therefore, an entire design process becomes the construction and running of the automaton. The automaton is optimized to increase efficiency. Finally, according to this automaton, a computer program has been developed, and it is validated through three examples in which design quality is significantly improved.

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Section: Development In Automating a Local Gearing Systemmentioning

confidence: 99%

A gearing forest automaton to automate a gearing system

Zhao¹,

Yang²,

Zhao³

2020

Preprint

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“…Traditional CAD systems are not useful in this phase of the work, when the design is still evolving and a general perspective is needed. More appropriate tools are KAE sys-tems~Kariko- Buhwezi & Cugini, 1995;Mandorli, 1997;Moulianitis, 1999;Ognjanovic, 1996!, which exempt the designer from boring tasks by carrying out as much as possible automatic computation and leaving him 0her the possibility to improve the product. KAE systems include a development shell providing object-oriented languages as software tool to define the knowledge base representing the product models.…”

Section: Decision-making Process For Irl Car Designmentioning

confidence: 99%

Racing car design using knowledge aided engineering

Susca

Mandorli

Rizzi

et al. 2000

AIEDAM

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The evolution of computer aided design (CAD) systems and related technologies has promoted the development of software for the automatic configuration of mechanical systems. This occurred with the introduction of knowledge aided engineering (KAE) systems that enable computers to support the designer during the decision-making process. This paper presents a knowledge-based application that allows the designer to automatically compute and evaluate mass properties of racing cars. The system is constituted by two main components: the computing core, which determines the car model, and the graphic user interface, because of which the system may be used also by nonprogrammers. The computing core creates the model of the car based on a tree structure, which contains all car subsystems (e.g., suspension and chassis). Different part–subpart relationships define the tree model and link an object (e.g., suspension) to its components (e.g., wishbones and wheel). The definition of independent parameters (including design variables) and relationships definition allows the model to configure itself by evaluating all properties related to dimension, position, mass, etc. The graphic user interface allows the end user to interact with the car model by editing independent design parameters. It visualizes the main outputs of the model, which consist in numeric data (mass, center of mass of both the car and its subsystems) and graphic elements (car and subsystems 3D representation).

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Section: Introductionmentioning

confidence: 99%

“…Design methods based on the designer's experience, tedious graphical constructions, or lengthy hand calculations are being increasingly replaced by ready-to-use computer implemented algorithms and design codes. [1][2][3][4][5][6][7][8][9] In order to keep with this trend, some research goals are: (i) devising automatic procedures for the analysis of gear transmissions, (ii) providing the designer with methods of analysis whose applicability is not limited by the extent of his experience or physical intuition, and (iii) introducing the algorithms with a commonality for the analysis of the variety of gear trains encountered in engineering practice. 2,[10][11][12][13][14] Ideally the design of a gear transmission system could be carried out through several phases: (a) synthesis of the kinematic structure, (b) selection of gear proportions to obtain the prescribed overall transmission ratio, (c) power flow, static force, and efficiency analysis, (d) design of lubricating and cooling system, (e) dimensioning of gear teeth, (f) determination of manufacturing method, (g) cost and reliability analysis, (h) prototype testing.…”

Section: Introductionmentioning

confidence: 99%

A review of graph theory application research in gears

Xue

Yang

2015

Proceedings of the Institution of Mechanical Engineers, Part C:

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Graph theory has been applied to gear train analysis and synthesis for many years, and it is an effective and systematic modeling approach in the design process of gear transmission. Based on more than 100 references listed in this paper, a review about the graph-based method for kinematic and static force analysis, power flow, and mechanical efficiency computation is presented. The method is based on the concept of fundamental circuit corresponding to a basic epicyclic gear train. A 1-dof epicyclic gear train and a two-stage planetary gear train are used to illustrate the application of this method. Besides, isomorphism identification in the synthesis process and enumeration of 1-dof epicyclic gear train graphs are surveyed particularly. Also, the computerized methods for detection of redundant gears and degenerate structures in epicyclic gear trains are reviewed, respectively.

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Decisions in gear train transmission design

Cited by 10 publications

References 1 publication

A gearing forest automaton to automate a gearing system

A gearing forest automaton to automate a gearing system

Racing car design using knowledge aided engineering

A review of graph theory application research in gears

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