Design and optimization of machining fixture layout using ANN and DOE

Selvakumar, S.; Arulshri, K. P.; Padmanaban, K.; Sasikumar, K. S. K.

doi:10.1007/s00170-012-4281-2

Cited by 63 publications

(27 citation statements)

References 28 publications

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“…Three independent factors were considered as shown in Table 3. Furthermore, the results of the FE simulations using the Box-Behnken method were trained to learn the nonlinear relationship between the shape parameters using an artificial neural network (ANN) [14][15][16]. A total of 15 FE simulations were utilized to train and develop the ANN.…”

Section: Conditions Of Fe Simulationmentioning

confidence: 99%

A Four-Roll Squeeze Pointing Machine for a Shape-Drawing Process

Kim

2018

Metals

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Abstract:A pointing process is a pre-work operation to facilitate the feeding of a rod to pass through a drawing die. After performing the pointing process, the drawing material is inserted into the drawing die and the jaw pulls the end of the material. A bar pointing turning machine, which is universally used for the pointing process, causes a breaking of drawing material easily in the shape-drawing process. Because a shape-drawing process requires a higher drawing load and a smaller cross-sectional area of the pointed zone of drawing material, a pointing process which is to prevent the breaking of the drawing material through a work-hardening effect at an early stage of the drawing process is necessary. In this study, a four-roll squeeze pointing machine (RSPM) as a new automatic pointing machine is introduced. RSPM has been developed to improve the productivity of the pointing process as well as the shape-drawing process by preventing the breaking of the drawing material. The ductile fracture criterion based on Cockcroft-Latham's theory was used to predict the breaking of drawing material and any defects during the pointing process. A tool design method for the RSPM and a feasible pointing size for the conventional pointing machine are proposed. In addition, the drawing materials manufactured using a conventional pointing machine and the RSPM are compared through finite element (FE) simulations and experiments.

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Section: Conditions Of Fe Simulationmentioning

confidence: 99%

A Four-Roll Squeeze Pointing Machine for a Shape-Drawing Process

Kim

2018

Metals

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“…In machining fixtures, minimizing workpiece deformation due to clamping and cutting forces is essential to maintain the machining accuracy [16]. Thus, the CAFD research strengths are mainly found in the methods of verification which concentrated on examining the stability of the workpiece and deformation in the process of machining and the fixture planning methods that aim to minimize the deformation of the workpiece as a result of forces during machining [9].…”

Section: Steps Of Fixture Designmentioning

confidence: 99%

“…To overcome finding the minimum elastic deformation, GA has been interfaced with FEM for the fixture layout optimization problems [16]. Finite element analysis (FEA) is becoming a common platform for the modeling and simulation of various manufacturing processes [24].…”

Section: Intelligent Approaches To Fixture Design Systemsmentioning

confidence: 99%

“…Ming and Mak [36] used a neural network method to prove the applicability of the NN in the setup planning, where tool approach direction, feature precedence, and tolerance relations are fed into a self-organizing Kohonen neural network to gather the operations for singular features into the setup planning. In case of fixture layout design, recently a NN-based algorithm with design of experiments is also proposed by Selvakumar et al The approach is to design an optimum fixture layout to lower the workpiece maximum elastic deformation created while machining by the machining and clamping forces action on the workpiece [16].…”

Section: Ann Machinementioning

confidence: 99%

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Recent Developments on Computer Aided Fixture Design: Case Based Reasoning Approaches

Hashemi

Shaharoun

Izman

et al. 2014

Advances in Mechanical Engineering

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Fixture design is an important issue in the process of manufacturing. As a critical design activity process, automation in fixture design plays an integral role in linking computer aided designs and computer aided manufacturing. This paper carries out a literature review of computer aided fixture design (CAFD) developments using intelligent methods that have been commonly utilized in automation in the last two decades. The first part of this review considers the steps of fixture design along with the significant researches and requirements of fixtures over time. After that, the paper presents important and relevant research carried out in the field of CAFD using intelligent approaches and the working principles surrounding this issue. The following section concentrates on the details of case based reasoning (CBR) approach, the most successful approach in CAFD. The examination of this approach is carried out based on applications, stages of CBR based systems fixture design, working principles, and pertinent proposed approaches. Lastly, the present drawbacks of the current methods and shortfalls in research are identified for future studies.

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“…Based on these two models, multiple objects of fixture layout optimization problems were proposed, and a multiobjective GAbased optimization method was constructed. Selvakumar et al [30] proposed a hybrid scheme to design an optimum fixture layout in order to reduce the maximum elastic deformation of the workpiece caused by the clamping and machining forces acting on the workpiece while machining.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Dynamic Compliance of Fixture/Workpiece Interface

Todorovič¹,

Vukelić²,

Tadić³

et al. 2014

Int. j. simul. model.

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In this paper, the compliance of interface between fixture elements and workpiece is theoretically and experimentally investigated. The proposed theoretical model allows modelling of the behaviour of all kinds of interfaces between fixture elements and workpiece, under arbitrary dynamic loads. Workpiece displacement relative to fixture element was determined by analytical solution of the Lagrange differential equations of motion. Interface stiffness and damping coefficient were determined experimentally. The results of experimental investigation confirm the claims of theoretical model.

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Design and optimization of machining fixture layout using ANN and DOE

Cited by 63 publications

References 28 publications

A Four-Roll Squeeze Pointing Machine for a Shape-Drawing Process

A Four-Roll Squeeze Pointing Machine for a Shape-Drawing Process

Recent Developments on Computer Aided Fixture Design: Case Based Reasoning Approaches

Modelling of Dynamic Compliance of Fixture/Workpiece Interface

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