A metric to represent the evolution of CAD/analysis models in collaborative design

Computer Aided Design (CAD) and Computer Aided Engineering (CAE) models are often used during product design. Various interactions between the different models must be managed for the designed system to be robust and in accordance with initially defined specifications. Research published to date has for example considered the link between digital mock-up and analysis models. However design/analysis integration must take into consideration the important number of models (digital mock-up and simulation) due to model evolution in time, as well as considering system engineering. To effectively manage modifications made to the system, the dependencies between the different models must be known and the nature of the modification must be characterised to estimate the impact of the modification throughout the dependent models. We propose a technique to describe the nature of a modification which may be used to determine the consequence within other models as well as a way to qualify the modified information. To achieve this, a metric is proposed that allows the qualification and evaluation of data or information, based on the maturity and validity of information and model

Reverse engineering of CAD models via clustering and approximate implicitization

In applications like computer aided design, geometric models are often represented numerically as polynomial splines or NURBS, even when they originate from primitive geometry. For purposes such as redesign and isogeometric analysis, it is of interest to extract information about the underlying geometry through reverse engineering. In this work we develop a novel method to determine these primitive shapes by combining clustering analysis with approximate implicitization. The proposed method is automatic and can recover algebraic hypersurfaces of any degree in any dimension. In exact arithmetic, the algorithm returns exact results. All the required parameters, such as the implicit degree of the patches and the number of clusters of the model, are inferred using numerical approaches in order to obtain an algorithm that requires as little manual input as possible. The effectiveness, efficiency and robustness of the method are shown both in a theoretical analysis and in numerical examples implemented in Python

Resource Based Build Direction in Additive Manufacturing Process

Three dimensional free-form geometric shapes can be built by putting layers upon layer in a predefined direction via Additive Manufacturing (AM) processes. The fabrication processes require computational as well as physical resources and can vary not only upon the product but its process plan. Overly simplified process plan may expedite the pre-fabrication techniques, but may create difficulty during fabrication of those slices. For an example, slices with concavity or discrete contour plurality may introduce deposition discontinuity, over deposition, and higher build time during the fabrication. These issues demand more resources there by affecting the part quality and fabrication cost. In this work, we focus upon the build direction of AM process plan to address the fabrication and resource utilization. First, a set of uniform build direction is identified and the object is discretized using a set of critical points considering the object concavity along the build direction. Cutting planes are generated and the object is discretized into strips and each strip is analyzed for contour plurality and the build directions are quantified through the allocation of importance factors. The optimal build direction thus found will result in lowest possible fabrication complexity. The proposed methodology is implemented and presented with a sample example in this paper.Mechanical Engineerin

The investigation of a method to generate conformal lattice structures for additive manufacturing

Additive manufacturing (AM) allows a geometric complexity in products not seen in conventional manufacturing. This geometric freedom facilitates the design and fabrication of conformal hierarchical structures. Entire parts or regions of a part can be populated with lattice structure, designed to exhibit properties that differ from the solid material used in fabrication. Current computer aided design (CAD) software used to design products is not suitable for the generation of lattice structure models. Although conceptually simple, the memory requirements to store a virtual CAD model of a lattice structure are prohibitively high. Conventional CAD software defines geometry through boundary representation (B-rep); shapes are described by the connectivity of faces, edges and vertices. While useful for representing accurate models of complex shape, the sheer quantity of individual surfaces required to represent each of the relatively simple individual struts that comprise a lattice structure ensure that memory limitations are soon reached. Additionally, the conventional data flow from CAD to manufactured part is arduous, involving several conversions between file formats. As well as a lengthy process, each conversion risks the generation of geometric errors that must be fixed before manufacture. A method was developed to specifically generate large arrays of lattice structures, based on a general voxel modelling method identified in the literature review. The method is much less sensitive to geometric complexity than conventional methods and thus facilitates the design of considerably more complex structures. The ability to grade structure designs across regions of a part (termed functional grading ) was also investigated, as well as a method to retain connectivity between boundary struts of a conformal structure. In addition, the method streamlines the data flow from design to manufacture: earlier steps of the data conversion process are bypassed entirely. The effect of the modelling method on surface roughness of parts produced was investigated, as voxel models define boundaries with discrete, stepped blocks. It was concluded that the effect of this stepping on surface roughness was minimal. This thesis concludes with suggestions for further work to improve the efficiency, capability and usability of the conformal structure method developed in this work

Factors Forecasting the Effect of Rapid Prototyping Technologies on Engineering Design Education.

This dissertation presents information gathered and analyzed through an electronic internet-based Delphi Survey process. The purpose of this study is to identify a consensus of factors that might forecast the future effects of Rapid Prototyping (RP) technology on engineering design education when used for the purpose of overcoming the limitations of 2D representation of 3D space. The identification of consensus was developed from the collection of opinions from a panel of experts in RP technology. Early adopters of emerging technologies can reduce risk through careful research, but decisions must often be made before significant quantitative data are available. Expert subjective judgment may be a valuable source of information for making decisions. RP is just one of the tools used in engineering design education for visualization. This research should help to guide faculty members in making decisions regarding the use of RP technology in the curriculum. The one consensus reached by the panel is that 3D CAD will replace 2D CAD as the default modeling tool in most product-design related curricula within 5 years. The general conclusion of the study is that the appropriate use of the technology in the curriculum is largely situational

A Roadmap for Acquisition of Legacy Parts Through an On-demand Solution Aimed at the Energy Sector on the Norwegian Continental Shelf - A Case Implementation

\section{Abstract} Equinor has initiated a Field Life Extension (FLX) project to prolong the end-life operational capabilities of their installations by innovative methods, including Stafjord A. One of these innovative methods is to implement an on-demand solution for re-supplying the installation with spare parts manufactured through alternative methods, such as additive manufacturing (AM) and rapid casting. However, due to the age of specific components, the documentation for design, material specification, and manufacturing may be missing, i.e., legacy parts. The main aim of this thesis is to map the path from notification of a potential failure of a legacy part to the installation of a near-identical part. The life extension implies that mechanical equipment, such as valve bodies for the fire deluge systems must maintain their integrity throughout the expanded life cycle. Unfortunately, this component has exceeded its life expectancy by twice. Hence, increased degradation and risk for potential accidents introduce the need for acquiring new valve bodies. A literature review investigated the challenges and requirements for implementing the on-demand solution for legacy parts. Standards and manufacturing methods have been studied and compared. An Analytical Hierarchy Process was used to analyze the input from experts within AM and rapid casting. Finally, a case review processed the valve body through the Reverse Engineering Process (REP) activities. A roadmap is proposed based on regulations governing the manufacturing of mechanical components used on the Norwegian Continental Shelf (NCS). Furthermore, requirements for implementing the on-demand solution for legacy parts are described, including a proposition for an explicit criticality assessment for metal AM. A recommendation for operational part-monitoring and identification linked with a digital warehouse of the corresponding part is made to finalize the proposed roadmap for acquiring legacy parts on the NCS. The Analytical hierarchy process (AHP) reveals that rapid casting outperforms metal AM for valve body manufacturing. In addition, metal AM and rapid casting are benchmarked regarding realistic cost and lead time procurement limitations. The results include the AHP output and indicate that the cost of ordering the valve body favour rapid casting, but the lead time for metal AM is lower than rapid casting. The total cost for metal AM per part is nearly equal to the cost of the initial requested batch of 26 valve bodies produced by rapid casting

Function modelling and constraints replacement for additive manufacturing in satellite component design

Additive Manufacturing is increasingly attracting interest among manufacturers of space components, mainly due to its high design freedom, capability for achieving weight reduction and for being cost-efficiently produced in low volumes. However, AM is a less mature technology compared to established manufacturing methods. This lack of maturity concerns especially the area of AM manufacturing constraints as the knowledge about them is limited and because they mature over time, as the technology evolves. The lack of knowledge hinders designers to fully take advantage of AM, fearing that the technology will affect product reliability. This situation is particularly emphasized in space components, since they are subject to high reliability requirements. In this paper, a methodology based on function decomposition and constraint modelling is proposed as a basis for re-design of products using AM. In the methodology, the original functions, design solutions and manufacturing constraints of a product are identified. Then, the original manufacturing constraints are removed and replaced with manufacturing constraints for AM. Afterwards, functions and design solutions on the function model are modified and a new part geometry is designed and eventually realised in CAD. This methodology has been applied on a case study featuring a satellite sub-component

Design for additive manufacturing: trends, opportunities, considerations, and constraints

© 2016 CIRP. The past few decades have seen substantial growth in Additive Manufacturing (AM) technologies. However, this growth has mainly been process-driven. The evolution of engineering design to take advantage of the possibilities afforded by AM and to manage the constraints associated with the technology has lagged behind. This paper presents the major opportunities, constraints, and economic considerations for Design for Additive Manufacturing. It explores issues related to design and redesign for direct and indirect AM production. It also highlights key industrial applications, outlines future challenges, and identifies promising directions for research and the exploitation of AM's full potential in industry

Design for additive manufacturing: Trends, opportunities, considerations, and constraints

The past few decades have seen substantial growth in Additive Manufacturing (AM) technologies. However, this growth has mainly been process-driven. The evolution of engineering design to take advantage of the possibilities afforded by AM and to manage the constraints associated with the technology has lagged behind. This paper presents the major opportunities, constraints, and economic considerations for Design for Additive Manufacturing. It explores issues related to design and redesign for direct and indirect AM production. It also highlights key industrial applications, outlines future challenges, and identifies promising directions for research and the exploitation of AM's full potential in industry