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      • KCI등재

        Tolerance Analysis in Selective Assembly of Multiple Component Features to Control Assembly Variation using Matrix Model and Genetic Algorithm

        A. K. Jeevanantham,S. V. Chaitanya,A. Rajeshkannan 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.10

        A product may consist of two or more components being assembled together. The geometrical and dimensional tolerances (GDT) present in each feature of the components influence the performance of the assembly. Their accumulation and propagation on assembly fit can be investigated by tolerance analysis. However, during the high precision assembly manufacturing, especially in the selective assembly process, only the dimensional deviations of mating components are considered to evaluate the assembly fit. In this paper, the assembly fits in selective assembly due to GDT of an individual feature of components, is modelled by the matrix method of tolerance analysis. Based on the principles of Technologically and Topologically Related Surfaces and Minimum Geometric Datum Elements, a worst case tolerance analysis is applied into the selective assembly. The conventional method of dividing the components into groups (bins) by dimensional deviation is replaced by integrated GDT. The best combination of components to obtain minimum assembly variation is achieved through a genetic algorithm. The proposed method is demonstrated using a two-dimensional valvetrain assembly that consists of camshaft, tappet, and valve-stem. The effect of considering and annulling the GDT in selective assembly is verified up to 20 numbers of group size.

      • KCI등재

        Multi-Objective Optimization of Single Point Incremental Sheet Forming of AA5052 using Taguchi based Grey Relational Analysis Coupled with Principal Component Analysis

        Pandivelan Chinnaiyan,Jeevanantham A K 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.

        This paper presents a detailed experimental investigation on single point incremental forming (SPIF) of AA5052 sheet. In order toinvestigate the effects of incremental forming parameters, a straight-groove test was designed using L18 orthogonal array (OA) andgroves were performed along the rolling, transverse and 45o (diagonal) directions on the cold-rolled sheets. The sum of major strainand minor strain as a measure of formability and the surface roughness were measured. These multi-objective responses werenormalized using grey relational analysis (GRA). Moreover, the principal component analysis (PCA) was applied to evaluate theweighting values corresponding to each performance characteristics. The variability caused by the input parameters was apportionedusing analysis of variance (ANOVA). Thus, the Taguchi method (TM) based GRA coupled with PCA was specifically adopted todetermine the optimal combination of forming parameters. The confirmation experiment shows an average improved formability of56.37% and surface roughness of 93.68%.

      • KCI등재

        Optimal layout of a partially treated laminated composite magnetorheological fluid sandwich plate

        R. Vasudevan,R. Manoharan,A.K. Jeevanantham 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.16 No.6

        In this study, the optimal location of the MR fluid segments in a partially treated laminated composite sandwich plate has been identified to maximize the natural frequencies and the loss factors. The finite element formulation is used to derive the governing differential equations of motion for a partially treated laminated composite sandwich plate embedded with MR fluid and rubber material as the core layer and laminated composite plate as the face layers. An optimization problem is formulated and solved by combining finite element analysis (FEA) and genetic algorithm (GA) to obtain the optimal locations to yield maximum natural frequency and loss factor corresponding to first five modes of flexural vibration of the sandwich plate with various combinations of weighting factors under various boundary conditions. The proposed methodology is validated by comparing the natural frequencies evaluated at optimal locations of MR fluid pockets identified through GA coupled with FEA and the experimental measurements. The converged results suggest that the optimal location of MR fluid pockets is strongly influenced not only by the boundary conditions and modes of vibrations but also by the objectives of maximization of natural frequency and loss factors either individually or combined. The optimal layout could be useful to apply the MR fluid pockets at critical components of large structure to realize more efficient and compact vibration control mechanism with variable damping.

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