A Machine Learning Framework for Decision Support in Design and Manufacturing

Author(s):  
Aditya Balu ◽  
Sambit Ghadai ◽  
Gavin Young ◽  
Soumik Sarkar ◽  
Adarsh Krishnamurthy

The widespread adoption of computer-aided design (CAD) and manufacturing (CAM) tools has resulted in the acceleration of the product development process, reducing the time taken to design a product [46]. However, the product development process, for the most part, is still decentralized with the design and manufacturing reviews being performed independently, leading to differences between as-designed and as-manufactured component. A successful product needs to meet its specifications, while also being manufacturable. In general, the design engineer ensures that the product is able to function according to the specified requirements, while the manufacturing engineer gives feedback to the design engineer about its manufacturability. This iterative process is often time consuming, leading to longer product development times and higher costs. Recent researches in integrating design and manufacturing [24, 28, 46] have tried to reduce these differences and making the product development process easier and accessible to designers, who may not be manufacturing experts. In addition, there have been different efforts to enable a collaborative product development process and reduce the number of design iterations [8, 10, 41]. However, with the increase in complexity of designs, integrating the manufacturability analysis within the design environment provides an ideal solution to improve the product design process.

2017 ◽  
Vol 37 (1) ◽  
pp. 71-83 ◽  
Author(s):  
Andre Diogo Moscheto ◽  
Carlos Cziulik ◽  
Simão Marcon Junior ◽  
Marcos Sulevis

Purpose The purpose of this paper is to provide a new approach involving guidelines and supporting techniques that guarantees all needed space for appropriate product maintenance. Design/methodology/approach The approach is based on two major areas: field survey to understand how maintainability parameter is applied and converge theory and practice into a systematic space claim method using computer-aided design (CAD) systems to assure proper maintenance procedures at design stages. Findings Case studies from a truck industry conducted following the proposed approach contrast the savings that can be achieved by using a proper space claim for aftermarket needs against an unsuitable level of participation by maintenance personnel during the design development. Research limitations/implications This approach is highly dependent on maintenance experts with suitable skills on CAD systems. Practical implications Products developed according to the approach envisaged can result in following aspects: lower repair time, better maintenance procedures on key components, easier preventive maintenance, less need for special tools, more ergonomic design, better communication between design and service engineers, simplicity and less complex training. Social implications Further research on maintainability will provide new information on how to apply this parameter on product development process (PDP), so design teams can better understand and address this relevant issue. The proposed method has been introduced in the PDP of a major multinational automotive company. Originality/value A new process is presented, considering the protection of needed spaces for maintenance procedures throughout the PDP, diverging to other studies that only propose analysis addressing maintainability at singular point in time during the product development. In just one case study presented, savings of US$1.3m were achieved by applying this space claim approach.


Author(s):  
Kuang-Hua Chang ◽  
Javier Silva ◽  
Ira Bryant

Abstract Conventional product development process employs a design-build-break philosophy. The sequentially executed product development process often results in a prolonged lead-time and an elevated product cost. The proposed concurrent design and manufacturing (CDM) process employs physics-based computational methods together with computer graphics technique for product design. This proposed approach employs Virtual Prototyping (VP) technology to support a cross-functional team analyzing product performance, reliability, and manufacturing cost early in the product development stage; and conducting quantitative trade-off for design decision making. Physical prototypes of the product design are then produced using Rapid Prototyping (RP) technique primarily for design verification purposes. The proposed CDM approach holds potential for shortening the overall product development cycle, improving product quality, and reducing product cost. A software tool environment that supports CDM for mechanical systems is being built at the Concurrent Design and Manufacturing Research Laboratory (http://cdm.ou.edu) at the University of Oklahoma. A snap shot of the environment is illustrated using a two-stroke engine example. This paper presents three unique concepts and methods for product development: (i) bringing product performance, quality, and manufacturing cost together in early design stage for design considerations, (ii) supporting design decision-making through a quantitative approach, and (iii) incorporating rapid prototyping for design verification through physical prototypes.


Author(s):  
Marco Rossoni ◽  
Giorgio Colombo ◽  
Luca Bergonzi

Current trends in product development process highlight the increasing adoption of digital data and virtual processes. Nowadays, a huge amount of product data are collected without a clear management strategy and, oftentimes, they dont even cover the whole product development process. A global and integrated planning about information needed to sustain product design process is not a trivial task and, usually, companies underrates this issue. From the perspective of virtualization of processes, and then their automation, the lack of structured knowledge is certainly awful. This paper aims at making a critical analysis how product data evolve throughout the product design or configuration process and how they impact the product development activities. Efficient digital product twin allows companies to virtualize processes and leverage their automation, but it is important to understand how the knowledge management should be carried out. Three case studies, directly experienced by the authors, have been investigated analyzing digital data and virtual tools that allow companies to automate the design process, each one bringing a peculiar perspective of the problem.


Author(s):  
Maurizio Muzzupappa ◽  
Loris Barbieri ◽  
Fabio Bruno ◽  
Umberto Cugini

Topological optimization (TO) tools are today widely employed in several engineering fields (e.g., construction, aeronautics, aerospace, and automotive). The diffusion of these tools is due to their capacity to improve mechanical properties of products through a global optimization of the product in terms of weight, stiffness, strength, and cost. On the other hand, the adoption of TO tools still requires a sizeable organizational effort because, at present, these tools are mostly stand-alone and are not well integrated into the product development process (PDP). This paper presents an innovative methodology that supports designers and analysts in formalizing and transmitting design choices taken during project activities and in making the integration of TO tools in the PDP more efficient. The methodology clearly defines the roles, the activities, the data to exchange, and the software tools to be used in the process. Some custom computer-aided design automation tools have been implemented to improve the efficiency of the methodology. Moreover, this paper defines an original procedure to support the interpretation of the TO results.


Author(s):  
Michael D. Johnson ◽  
Ram Prasad Diwakaran

Modern computer-aided design (CAD) systems have significantly contributed to product development efficiency and cycle time reduction. CAD models can undergo several iterations through the development process; the use of CAD tools allows for these models to be quickly altered during these iterations. Altering existing CAD models can also reduce product development cycle-time by allowing for variants of these designs to be created quickly. These benefits require the reuse of CAD models to be quick and intuitive. This work examines the effects of several original and altered model variables (both attributes and derived quantities) and the perception of the original model on the speed with which the models were altered. Models created and altered using the SolidWorks and Pro|Engineer CAD platforms are examined and compared. It is shown that CAD models with fewer, complex features are altered more quickly. Models deemed as properly conveying design intent are also altered more quickly. Models perceived as having an intuitive feature order have a higher percentage of features being retained, but feature retention does not significantly affect alteration time. It is also shown that in the absence of incentives, improper modeling procedures are not corrected and increase during alteration.


Author(s):  
Marco Marconi ◽  
Alessandra Papetti ◽  
Martina Scafà ◽  
Marta Rossi ◽  
Michele Germani

AbstractProduct customization aims to consider individual customers preferences in the design of new products, in order to directly involve them in the product development process and to maximize their satisfaction. It can be considered a key competitive factor and a “hot topic” in several industrial sectors, including luxury apparel goods and high-end footwear products. However, currently the design and manufacturing of customized shoes are carried out through artisanal and non-standardized processes, based on the individual expertise of operators.The objective of this study is to define an innovative framework to support the different processes affected by customization. This framework is enabled by different digital technologies, as CAD-based tools, virtual/augmented reality systems, etc., opportunely integrated in the product development process. The main benefits related to the framework implementation in real industrial contexts are an increase of flexibility, the repeatability of processes, a higher efficiency in information exchange, a more effective involvement of final customers, and, as a consequence, the reduction of time to market and production costs for tailor-made shoes.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Yu Chen ◽  
Qinhua Hou ◽  
Yan Hong ◽  
Weihong Gao

Abstract With the development of virtual reality, computer-aided design has shown its strength in the garment product development process. Wrist position corresponds to the styloid process of the ulna (SPU). Due the problem that the SPU position is usually not the finest position of the forearm, the wrist position identification in the 3D clothing design is quite important. This paper proposes a method that uses a fixed-step search algorithm based on existing proportion methods to determine the position of the SPU. The accuracy and efficiency of the proposed method has been validated using 100 samples by comparison with the existing methods. It can be fully applied to a virtual 3D-to-2D garment prototyping process and ensure the automation of this process.


Author(s):  
Hugh E. McLoone

Creativity can be viewed as a chaotic or unplanned activity. The product design process often may seem like chaos as well, but this is not inevitable. Designers and human factors/ergonomics (HF/E) professionals follow a clear design process with phases, levels, and methods for creation of successful new products. Research methods are offered at the right time during this process to generate new concepts and to evaluate designs. We work together to create innovative, valued, and successful products via a generative, iterative, evaluative process.


Author(s):  
Sebastian Pena Serna ◽  
Andre Stork ◽  
Dieter W. Fellner

The engineering design is a systematic approach implemented in the product development process, which is composed of several phases and supported by different tools. Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE) tools are particularly dedicated to the embodiment phase and these enable engineers to design and analyze a potential solution. Nonetheless, the lack of integration between CAD and CAE restricts the exploration of design variations. Hence, we aim at incorporating functionalities of a CAD system within a CAE environment, by means of building a high level representation of the mesh and allowing the engineer to handle and manipulate semantic features, avoiding the direct manipulation of single elements. Thus, the engineer will be able to perform extruding, rounding or dragging operations regardless of geometrical and topological limitations. We present in this paper, the intelligence that a simulating mesh needs to support, in order to enable such operations.


2015 ◽  
Vol 786 ◽  
pp. 305-310 ◽  
Author(s):  
Mohd Qadafie Ibrahim ◽  
Nurulhalim Hassim ◽  
Ahmad Anas Yusof ◽  
Siti Zulaikha Abdul Mutalib

Direct modelling is a new CAD technology that enables model geometry construction by pushing, pulling or twisting which emphasis to solve the constraint issues made by the current technology. Ideally it is more efficient and productive in accomplishing a part of product design process. This study is about comparing productivity and efficiency of both modelling by mean of counting mouse button clicks as representing speed for accomplishing the task. Parametric modelling is set as the benchmark. The review also taking into account several qualitative aspects during the process. Accordingly, direct modelling is proven better from the parametric modelling for this scenario.


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