A hybrid and adaptive tool-path generation approach of rapid prototyping and manufacturing for biomedical models

Jin, Guoqing; Li, W. D.; Gao, Liang; Popplewell, Keith

doi:10.1016/j.compind.2012.12.003

Cited by 44 publications

(18 citation statements)

References 23 publications

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“…Several authors consider flexibility as enabling the production of a wide range of complex shaped parts (e.g. Jin et al 2013;Schmidt et al 2007). Zhang et al 2013…”

Section: Flexibility To Fabricate a Wide Range Of Complex Geometriesmentioning

confidence: 99%

The flexibility of industrial additive manufacturing systems

Eyers

Potter

Gosling

et al. 2018

IJOPM

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Purpose Flexibility is a fundamental performance objective for manufacturing operations, allowing them to respond to changing requirements in uncertain and competitive global markets. Additive manufacturing machines are often described as “flexible,” but there is no detailed understanding of such flexibility in an operations management context. The purpose of this paper is to examine flexibility from a manufacturing systems perspective, demonstrating the different competencies that can be achieved and the factors that can inhibit these in commercial practice. Design/methodology/approach This study extends existing flexibility theory in the context of an industrial additive manufacturing system through an investigation of 12 case studies, covering a range of sectors, product volumes, and technologies. Drawing upon multiple sources, this research takes a manufacturing systems perspective that recognizes the multitude of different resources that, together with individual industrial additive manufacturing machines, contribute to the satisfaction of demand. Findings The results show that the manufacturing system can achieve seven distinct internal flexibility competencies. This ability was shown to enable six out of seven external flexibility capabilities identified in the literature. Through a categorical assessment the extent to which each competency can be achieved is identified, supported by a detailed explanation of the enablers and inhibitors of flexibility for industrial additive manufacturing systems. Originality/value Additive manufacturing is widely expected to make an important contribution to future manufacturing, yet relevant management research is scant and the flexibility term is often ambiguously used. This research contributes the first detailed examination of flexibility for industrial additive manufacturing systems.

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“…Several authors consider flexibility as enabling the production of a wide range of complex shaped parts (e.g. Jin et al 2013;Schmidt et al 2007). Zhang et al 2013…”

Section: Flexibility To Fabricate a Wide Range Of Complex Geometriesmentioning

confidence: 99%

The flexibility of industrial additive manufacturing systems

Eyers

Potter

Gosling

et al. 2018

IJOPM

View full text Add to dashboard Cite

show abstract

“…The process performance and output product characteristics of a 3D printing process can be determined from certain parameters. Their parameters can be organized into two distinct groups: process parameters and process planning parameters [3][4][5][6].…”

Section: Fused Deposition Modeling (Fdm) Is a Technique Used Inmentioning

confidence: 99%

“…Process planning parameters are parameters that can affect the surface quality, material properties, dimensional accuracy, and building time of the 3D printed part [4][5][6]. These parameters are co-dependent with the process parameters.…”

Section: Fused Deposition Modeling (Fdm) Is a Technique Used Inmentioning

confidence: 99%

Robot Arm Platform for Additive Manufacturing Using Multi-Plane Toolpaths

Ishak

Fisher

Larochelle

2016

Volume 5A: 40th Mechanisms and Robotics Conference

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This article discusses the concept of using an industrial robot arm platform for additive manufacturing. The concept being explored is the integration of existing additive manufacturing process technologies with an industrial robot arm to create a 3D printer with a multi-plane layering capability. The objective is to develop multi-plane toolpath motions that will leverage the increased capability of the robot arm platform compared to conventional gantry-style 3D printers. This approach enables print layering in multiple planes whereas existing conventional 3D printers are restricted to a single toolpath plane (e.g. x-y plane). This integration combines the fused deposition modeling techniques using an extruder head that is typically used in 3D printing and a 6 degree of freedom robot arm. Here, a Motoman SV3X is used as the platform for the robot arm. A higher level controller is used to control the robot and the extruder. To communicate with the robot, MotoCom SDK libraries is used to develop the interfacing software between the higher level controller and the robot arm controller. The integration of these systems enabled multi-plane toolpath motions to be utilized to produce 3D printed parts. A test block has been 3D printed using this integrated system.

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“…Han et al 21 theoretically analysed the deposition parameters and identified that layer thickness, deposition speed and deposition road width are the major parameters that determine the build time for FDM. Turner and Gold 22 and Jin et al 23 further documented that shortening tool paths by optimising tool path patterns could minimise time. Pham and Wang 24 discussed the interrelation between build time, roller travel speed, build height, laser scan speed, scan area and part volume in SLS.…”

Section: Review Of Build Time Estimation Researchmentioning

confidence: 99%

A new algorithm for build time estimation for fused filament fabrication technologies

Zhu

Dhokia

Newman

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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The manufacture of highly complex and accurate part geometries with reduced costs has led to the emergence of hybrid manufacturing technologies where varied manufacturing operations are carried out in either parallel or serial manner. One such hybrid process being currently developed is the iAtractive process, which combines additive (i.e. fused filament fabrication, known as FFF †) and subtractive (i.e. CNC machining) processes. In the iAtractive process production, operation sequencing of additive and subtractive operations is essential. This requires accurate estimation of production time, in which the FFF

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A hybrid and adaptive tool-path generation approach of rapid prototyping and manufacturing for biomedical models

Cited by 44 publications

References 23 publications

The flexibility of industrial additive manufacturing systems

The flexibility of industrial additive manufacturing systems

Robot Arm Platform for Additive Manufacturing Using Multi-Plane Toolpaths

A new algorithm for build time estimation for fused filament fabrication technologies

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