A Decomposition-Based Approach to Layered Manufacturing

Ilinkin, Ivaylo; Janardan, Ravi; Majhi, Jayanth; Schwerdt, Jörg; Smid, Michiel; Sriram, Ram D.

doi:10.1007/3-540-44634-6_36

Cited by 12 publications

(8 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Second, in this way, the quantity of supports used can be much smaller than by using the conventional approach. Initial results on this problem appear in [12], where we give an algorithm for choosing a decomposition plane that cuts the polyhedron into "few" pieces, such that the sum of the supports requirements for them is minimized. We plan to investigate this problem further in the near future.…”

Section: Results Obtained In the Year 2000mentioning

confidence: 99%

Geometric algorithms for layered manufacturing

Janardan¹,

Smid²

2005

Geometric and Algorithmic Aspects Of Computer-Aided Design and Manufacturing

Self Cite

View full text Add to dashboard Cite

Section: Results Obtained In the Year 2000mentioning

confidence: 99%

Geometric algorithms for layered manufacturing

Janardan¹,

Smid²

2005

Geometric and Algorithmic Aspects Of Computer-Aided Design and Manufacturing

Self Cite

View full text Add to dashboard Cite

“…Recently, computer-aided design and manufacturing (CAD-CAM) has made a lot of progress, thus providing a researcher with the opportunity of not only designing and analyzing a virtual model of a product on a computer but also producing that functional product directly from its three-dimensional (3 D) model (Ilinkin et al , 2002). This technology is called additive manufacturing (AM).…”

Section: Introductionmentioning

confidence: 99%

Improving the efficiency of fabrication of AM parts by segmentation design in DLP process

Kazemi

Rahimi

2019

RPJ

View full text Add to dashboard Cite

PurposeAdditive manufacturing technology significantly simplifies the production of complex three-dimensional (3 D) parts directly from the computer-aided design (CAD) model. Although additive manufacturing (AM) processes have unexampled flexibility, they still have restrictions inhibiting engineers to easily generate some specific geometric shapes, easily. Some of these problems pertain to the consumption of materials as supports, the inferior surface finish of some surfaces with certain angles, etc. One of the approaches to overcome these problems is designing by segmentation.Design/methodology/approachThe proposed methodology consists of two steps: (1) segmentation of the 3 D model and (2) exploring the best orientation for each segment. In the first step, engineers consider the possible number of segments and the connection method of segments. In this paper, a series of segments, called a segmentation pattern (SP), is obtained by the recognition of features and separating them automatically (or manually when needed) with one or more appropriate planes. In the second step, the best fabrication orientation should be chosen. The criteria for choosing the best SP and OPs are minimizing the support volume, building time (directly affected by segments’ height in layer-wise AM processes) and surface roughness. Both steps are performed automatically (or manually when needed) by the algorithm created based on principles of particle swarm optimization (PSO) algorithm using Visual C#.FindingsExperimental tests show that the segmentation design improves AM processes from the aspects of building time, material consumption and the surface quality. Segmentation design empowers users of AM technologies to reduce consumption of material by decreasing the support structures, to decrease the time of building by lowering the segments height and to decrease the surface roughness.Originality/valueThis paper presents an original approach in efficiency improvement of AM technologies, thus bringing the AM one step closer to maturity.

show abstract

“…The manufacturing industry has at its disposal a number of processes for constructing objects, including gravity casting, injection molding [7], [21], stereolithography [3], NC-machining [10], [11], and layered manufacturing [15], [12], [19]. In all of these manufacturing contexts, computer-aided design systems of growing sophistication are presently being introduced, and more and more real-world objects are modeled as geometric objects within a computer.…”

Section: Introductionmentioning

confidence: 99%

Casting with Skewed Ejection Direction

2005

View full text Add to dashboard Cite

Casting is a manufacturing process in which liquid is poured into a cast (mold) that has a cavity with the shape of the object to be manufactured. The liquid then hardens, after which the cast is removed. We address geometric problems concerning the removal of the cast. A cast consists of two parts, one of which retracts in a given direction carrying the object with it. Afterwards, the object will be ejected from the retracted cast part. In this paper we give necessary and sufficient conditions to test the feasibility of the cast part retraction and object ejection, where retraction and ejection directions need not be the same. For polyhedral objects, we show that the test can be performed in O(n 2 log 2 n) time and the cast parts can be constructed within the same time bound. The complexity of the cast parts constructed is worst-case optimal. We also give a polynomial-time algorithm for finding a feasible pair of retraction and ejection directions for a given polyhedral object.

show abstract

A Decomposition-Based Approach to Layered Manufacturing

Cited by 12 publications

References 4 publications

Geometric algorithms for layered manufacturing

Geometric algorithms for layered manufacturing

Improving the efficiency of fabrication of AM parts by segmentation design in DLP process

Casting with Skewed Ejection Direction

Contact Info

Product

Resources

About