A generative process planning system for parts produced by rapid prototyping

Pande, Sarang; Kumar, Santosh

doi:10.1080/00207540600988097

Cited by 22 publications

(13 citation statements)

References 17 publications

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“…The relationship between the maximum allowable cusp height and normal vector at any point on the tessellated model can be used to find the thickness of each layer. Many other researchers (Cormier et al, 2000;Jung and Ahluwalia, 2005;Pande and Kumar, 2008;Xu et al, 1997) used cusp height as an error measurement in their own algorithms. Measurement of all points on the top or bottom slice of a layer allows for calculation of the maximum allowable cusp height, leading to the division of the current thickness into small slices or keeping it at maximum thickness.…”

Section: Related Workmentioning

confidence: 99%

Close to CAD model curved-form adaptive slicing

Hayasi

Asiabanpour

2014

Rapid Prototyping Journal

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Purpose -The main aim of this study is to generate curved-form cut on the edge of an adaptive layer. The resulting surface would have much less geometry deviation error and closely fit its computer aided design (CAD) model boundary. Design/methodology/approach -This method is inspired by the manual peeling of an apple in which a knife's orientation and movement are continuously changed and adjusted to cut each slice with minimum waste. In this method, topology and geometry information are extracted from the previously generated adaptive layers. Then, the thickness of an adaptive layer and the bottom and top contours of the adjacent layers are fed into the proposed algorithm in the form of the contour and normal vector to create curved-form sloping surfaces. Following curved-form adaptive slicing, a customized machine path compatible with a five-axis abrasive waterjet (AWJ) machine will be generated for any user-defined sheet thicknesses. Findings -The implemented system yields curved-form adaptive slices for a variety of models with diverse types of surfaces (e.g. flat, convex, and concave), different slicing direction, and different number of sheets with different thicknesses. The decrease in layer thickness and increase of the number of the sloped cuts can make the prototype as close as needed to the CAD model. Research limitations/implications -The algorithm is designed for use with five-axis AWJ cutting of any kind of geometrical complex surfaces. Future research would deal with the nesting problem of the layers being spread on the predefined sheet as the input to the five-axis AWJ cutter machine to minimize the cutting waste. Practical implications -The algorithm generates adaptive layers with concave or convex curved-form surfaces that conform closely to the surface of original CAD model. This will pave the way for the accurate fabrication of metallic functional parts and tooling that are made by the attachment of one layer to another. Validation of the output has been tested only as the simulation model. The next step is the customization of the output for the physical tests on a variety of five-axis machines. Originality/value -This paper proposes a new close to CAD design sloped-edge adaptive slicing algorithm applicable to a variety of five-axis processes that allow variable thickness layering and slicing in different orientations (e.g. AWJ, laser, or plasma cutting). Slices can later be bonded to build fully solid prototypes.

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Section: Related Workmentioning

confidence: 99%

Close to CAD model curved-form adaptive slicing

Hayasi

Asiabanpour

2014

Rapid Prototyping Journal

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“…They programmed within PowerShape-a commercial CAD software package. Pande [17] developed a retrofitted fused deposition system on vertical CNC milling machine. Pande and Kumar [18] developed generative computer aided process planning for the part producing by the additive manufacturing.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Pande [17] developed a retrofitted fused deposition system on vertical CNC milling machine. Pande and Kumar [18] developed generative computer aided process planning for the part producing by the additive manufacturing. Five modules implemented in C language have unique methodology consisting of 42 simplified steps.…”

Section: Literature Reviewmentioning

confidence: 99%

A Review of Variable Slicing in Fused Deposition Modeling

Nadiyapara

Pande

2016

J. Inst. Eng. India Ser. C

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The paper presents a literature survey in the field of fused deposition of plastic wires especially in the field of slicing and deposition using extrusion of thermoplastic wires. Various researchers working in the field of computation of deposition path have used their algorithms for variable slicing. In the study, a flowchart has also been proposed for the slicing and deposition process. The algorithm already been developed by previous researcher will be used to be implemented on the fused deposition modelling machine. To demonstrate the capabilities of the fused deposition modeling machine a case study has been taken. It uses a manipulated G-code to be fed to the fused deposition modeling machine. Two types of slicing strategies, namely uniform slicing and variable slicing have been evaluated. In the uniform slicing, the slice thickness has been used for deposition is varying from 0.1 to 0.4 mm. In the variable slicing, thickness has been varied from 0.1 in the polar region to 0.4 in the equatorial region Time required and the number of slices required to deposit a hemisphere of 20 mm diameter have been compared with that using the variable slicing.

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“…Yan et al [13,14] followed this idea and developed an adaptive slicing method that works directly on point cloud by using moving least square surfaces. This error measurement has also been used widely in different applications [15,16,17,18,19]. Recently, Wang et al [20] presented an adaptive slicing method considering both the cusp height and saliency criterion.…”

Section: Surface Qualitymentioning

confidence: 99%

Adaptive slicing based on efficient profile analysis

Mao

Kwok

Wang

2019

Computer-Aided Design

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Adaptive slicing is an important computational task required in the layer-based manufacturing process. Its purpose is to find an optimal trade-off between the fabrication time (number of layers) and the surface quality (geometric deviation error). Most of the traditional adaptive slicing algorithms are computationally expensive or only based on local evaluation of errors. To tackle these problems, we introduce a method to efficiently generate the slicing plans by a new metric profile that can characterize the distribution of deviation errors along the building direction. By generalizing the conventional error metrics, the proposed metric profile is a density function of deviation errors, which measures the global deviation errors rather than the in-plane local geometry errors used in most prior methods. Slicing can be efficiently evaluated based on metric profiles in contrast to the expensive computation on models in boundary-representation. An efficient algorithm based on dynamic programming is proposed to find the best slicing plan. Our adaptive slicing method can also be applied to models with weighted features and can serve as the inner loop to search the best building direction. The performance of our approach is demonstrated by experimental tests on different examples.

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A generative process planning system for parts produced by rapid prototyping

Cited by 22 publications

References 17 publications

Close to CAD model curved-form adaptive slicing

Close to CAD model curved-form adaptive slicing

A Review of Variable Slicing in Fused Deposition Modeling

Adaptive slicing based on efficient profile analysis

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