Near net-shape manufacturing of metal sheathed superconductors by high energy rate forming techniques

Mamalis, A.G.; Szalay, A.; Göbl, Nándor; Vajda, István; Raveau, B.

doi:10.1016/s0921-5107(98)00114-7

Cited by 17 publications

(9 citation statements)

References 6 publications

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“…Initially, they optimized the component by parts, dividing the rod in regions, before subsequently proposing a new preform design. Mamalis et al 20 compare implicit and explicit approaches to modeling precision die forging. They concluded that implicit code results are more accurate, although that computational cost is higher.…”

Section: Theoretical-numericalmentioning

confidence: 99%

“…''Process design'' papers aim to establish, [8][9][10][11]14,20,54,57,68 optimize 12,22,34,44 or enhance 18,43,49 process capabilities in terms of technological quality, 8,11,18,43,44,59,68 geometric capabilities, 9,10,14,20,54 workable material 12,34,57 or waste reduction. Investigations are mainly empirical (experimental and case studies) and analytical.…”

Section: Process Designmentioning

confidence: 99%

“…[8][9][10][11][12]14 Much of the work on numerical analysis enhance and optimize the quality of casting, particularly investment casting, 18,22 and also defining the component shapes achievable by forging. 20 Product design ''Product design'' papers aim to evaluate, modify and establish the influence of product design on process performances, 19,29 feasibility, 25,26,28 design 15,28,30 and final product quality. 29 DFM methodologies are mainly used in this category, 15,19,25,26,[28][29][30] and it is interesting to note that only two papers have investigated forging with different methodologies, one numerically (i.e.…”

Section: Process Designmentioning

confidence: 99%

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Near net shape manufacturing of metal: A review of approaches and their evolutions

Marini

Cunningham

Corney

2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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In the last thirty years the concept of manufacturability has been applied to many different processes in numerous industries. This has resulted in the emergence of several different "Design for Manufacturing" methodologies which have in common the aim of reducing productions costs through the application of general manufacturing rules. Near net shape technologies have expanded these concepts, targeting mainly primary shaping process, such as casting or forging. The desired outcomes of manufacturability analysis for near-net-shape (NNS) processes are cost and lead/time reduction through minimization of process steps (in particular cutting and finishing operations) and raw material saving. Product quality improvement, variability reduction and component design functionality enhancement are also achievable through NNS optimization. Process parameters, product design and material selection are the changing variables in a manufacturing chain that interact in complex, non-linear ways. Consequently modeling and simulation play important roles in the investigation of alternative approaches. However defining the manufacturing capability of different processes is also a "moving target" because the various NNS technologies are constantly improving and evolving so there is challenge in accurately reflecting their requirements and capabilities. In the last decade, for example, CAD, CNC technologies and innovation in materials have impacted enormously on the development of NNS technologies. This paper reviews the different methods reported for NNS manufacturability assessment and examines how they can make an impact on cost, quality and process variability in the context of a specific production volume. The discussion identifies a lack of structured approaches, poor connection with process optimization methodologies and a lack of empirical models as gaps in the reported approaches.

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Section: Theoretical-numericalmentioning

confidence: 99%

Section: Process Designmentioning

confidence: 99%

Section: Process Designmentioning

confidence: 99%

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Near net shape manufacturing of metal: A review of approaches and their evolutions

Marini

Cunningham

Corney

2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Much of this deals with development of mechanical processes rather than geometric computation. For example, [7] reports the use of explosive and electromagnetic high energy rate compacting forming "powder-in-tube" techniques for NNS manufacturing of axisymmetric silver/superconducting ceramic; [8] describes a new NNS forming process for alumina; [9] details a novel NNS manufacturing method for polymer derived ceramics; [10] presents a study of gelcasting technique for ceramics and finally, [11] reports a new NNS method of fabricating diphasic ceramic microstructures with controlled phase dimensionality and anisotropy. A review of NNS manufacturing processes for ceramics was presented in [12].…”

Section: B Cad/cam Support Of New Nns Processesmentioning

confidence: 99%

Octree-Based Production of Near Net Shape Components

Medellin

Corney²,

Davies

et al. 2008

IEEE Trans. Automat. Sci. Eng.

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Near net shape (NNS) manufacturing refers to the production of products that require a finishing operation of some kind. NNS manufacturing is important because it enables a significant reduction in: machining work, raw material usage, production time, and energy consumption. This paper presents an integrated system for the production of near net shape components based on the Octree decomposition of 3-D models. The Octree representation is used to automatically decompose and approximate the 3-D models, and to generate the robot instructions required to create assemblies of blocks secured by adhesive. Not only is the system capable of producing shapes of variable precision and complexity (including overhanging or reentrant shapes) from a variety of materials, but it also requires no production tooling (e.g., molds, dies, jigs, or fixtures). This paper details how a number of well-known Octree algorithms for subdivision, neighbor findings, and tree traversal have been modified to support this novel application. This paper ends by reporting the construction of two mechanical components in the prototype cell, and discussing the overall feasibility of the system. Note to Practitioners-Traditional NNS manufacturing systems (e.g., forging, injection molding, and casting) require the design and manufacture of production tooling such as molds, dies, jigs, or fixtures to produce NNS components. Therefore, the production time of NNS parts is significantly affected by the need for production tooling. A new method to manufacture NNS parts directly from CAD information is presented in this paper. The proposed system is based on the automatic decomposition of 3-D models into a hierarchy of cubes of different sizes, which are assembled automatically using an industrial robot. There are several technical advantages of the proposed system over existing methods: it does not require the design and manufacture of production tooling; it can build parts from any rigid material (i.e., wood, plastic, ceramic, metal alloy, etc.); the build rate is extremely quick compared to say laminar manufacturing methods or direct CNC machining. However, the system is also significant because it demonstrates an approach to automated NNS manufacture that can be implemented using standard hardware (i.e., a pick and place robot and conveyor feeder) and can be easily scaled to macro or microapplications. The production of several test components has proved that the proposed system is practical as described. Future work considers the automatic postprocessing of NNS components to produce net shape parts automatically, and the investigation of alternatives to adhesives bonding of the assembly.

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“…Magnetic pulse compaction is a high energy-rate compacting method, which can produce high-density powder compact by using high strength impact load [7]. Mamalis formed superconducting oxide YBa 2 Cu 3 O 7 powder using magnetic pulse compaction [8]. The relative density of superconductor compact reached 82%.…”

Section: Introductionmentioning

confidence: 99%

Effects of temperature on the mechanical properties of Ti6Al4V powder compacts prepared by magnetic pulse compaction

2010

Rare Metals

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The effects of temperature (0-500°C) on the compressive strength, hardness, average relative density, and microstructure of Ti6Al4V powder green compacts prepared by magnetic pulse compaction were investigated. The results show that with increasing heating temperature, the compressive strength first increases and then decreases with the maximum value of 976.74 MPa at 400°C. The average relative density and hardness constantly increase, and their values reach 96.11% and HRA 69.8 at 500°C, respectively. The increase of partial welding is found among the junctions of particles inside the compacts; there is no obvious grain growth inside the compacts within the temperature range.

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Near net-shape manufacturing of metal sheathed superconductors by high energy rate forming techniques

Cited by 17 publications

References 6 publications

Near net shape manufacturing of metal: A review of approaches and their evolutions

Near net shape manufacturing of metal: A review of approaches and their evolutions

Octree-Based Production of Near Net Shape Components

Effects of temperature on the mechanical properties of Ti6Al4V powder compacts prepared by magnetic pulse compaction

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