研究一覧(1996年1月〜12月)


Calculation of the fractal dimensions of machined surface profiles
  M. Hasegawa, J. Liu, K.Okuda, M.Nunobiki
  WEAR, 192, p40 (1996)

 The optimal method calculating the fractal dimension of a machined surface profile is discussed in this paper. Through the analysis of the results calculated by use of the Weiestass-Mandelbrot fractal function with known fractal dimensions, the variation method is found to be the best one for calculating the fractal dimensions of the surface profiles among the power spectrum method, the cover method and rectangular cell counting method. By this method, the fractal dimensions of the surface profiles machined by turning, electrical discharge machining and grinding are evaluated. Furthermore, the relation between the fractal dimensions and the machining conditions are also investigated. In the case of turning, the fractal dimensions of surface profiles decrease with the change of the feed rate whereas the nose radius. The fractal dimensions of the EDM surface profiles hardly vary with increase of the peak discharge currents and the pulse durations. The fractal dimensions of the surface profiles machined by grinding do not change with the grain sizes of grinding wheels.

Study on Chaos Modeling of Engineering Surface by Radial Basis Function Network
  M. Hasegawa, J. Liu, M. Miyamoto, K. Okuda and M. Nunobiki
  Int. J. Japan Soc. Proc. Eng., 30 , p247 (1996)

  A new modeling method of an engineering surface is developed based on chaos theory. The chaos modeling approach is presented by using a radial basis function network. The orthogonal least square learning algorithm is used to derive optimal candidate weight coefficients. It has been shown that the approach is effective through a case study. The surface profile obtained by the model is approximately coincident with the measured profile. Finally, the prediction property of the model is also investigated.

A Study on Fractal Characteristics of ARMA Model
  M. Hasegawa, J. C. Liu, K. Okuda and M. Nunobiki
  Transactions of the ASME Journal of Manufacturing Science
  and Engineering, 118, p677 (1996)

  The fractal characteristics of ARMA (autoregressive moving average) model is studied. It is proved that the ARMA model behaves fractal. By applying the multiple regression analysis, the relationships between the fractal dimensions of the AR(1), AR(2) and ARMA(2,1) model and its parameters of those models are investigated.

工作機械設計における意思決定支援に関する研究
  長谷川素由,奥田孝一,布引雅之,園田毅
  精密工学会1996年度関西地方定期学術講演会講演論文集,p73 (1996)

 工作機械の基本設計過程における機械形式選択処理を,多数の多様な評価基準に基づく意思決定問題であると考え,ISMやAHP手法を応用した意思決定手法を提案し,本手法が多数の評価基準を階層的に再構築でき,各機械形式の特徴を定量的に評価できることを示す.

Decision Support System for Design of Machine Tools based on AHP
  M. Nunobiki, M.Hasegawa, K. Okuda and Y. Hamada
  Progress of Cutting and Grinding, Vil. 3, p397 (1996)

 The present paper deals with the decision support system based on AHP approach for the basic design stages of machine tools. This system supports the designer to select a structural configuration of the machine tool from a previously known set of well-understood alternatives in considerations of various criteria. These criteria involve both quantitative and qualitative information. AHP approach helps designer to decompose any complex and multicriteria problem into a hierarchy and to treat qualitative criteria quantitatively. Following four procedures are carried out in this system; (1)Hierarchical restructuring of design problem, (2)Determination of weights of design criteria corresponding to the customer's requirements, (3)Determination of relative priorities of alternatives for each criterion by pairwise comparisons and (4)Ranking of alternatives using these priorities and weights.

震災用ロボットに関する基礎的研究
  長谷川素由,布引雅之,滝田好弘*
  *防衛大学校         
  第14回日本ロボット学会学術講演会, p231 (1996)

 This paper presents a new concept of mobile robot for the disaster area after earthquake. The mobile robot has to move uneven surface which is covered with obstacles. Authors try to apply the creeping gait for the developed multi -link robot. Experimental results show the movement of the robot.