Modeling the Portfolio of Capabilities for Product Variant Creation and Assessment

Choice navigation, solution space development and robust process design are the three mass customization key competences. The first and second are often mapped into product configuration or design automation systems and aim at specifying or co-designing a suitable product variant. Robust process design targets at managing a well-known but flexible supply network. As part of this, the portfolio of capabilities describes limitations to the solution space and is a valuable source of knowledge containing general design guidelines and specific manufacturing restrictions, like NC travelling distances, as well as availabilities of whole production processes. This article contributes a modeling approach that bridges solutions space development and modeling the portfolio of capabilities. Therefore, a knowledge-based engineering system is extended by a capability model of according production machines that allows to automatically check new product variants against the portfolio of capabilities and to estimate setup efforts and expenses of process changes

Design for Additive Manufacturing: A Method to Explore Unexplored Regions of the Design Space

Additive Manufacturing (AM) technologies enable the fabrication of parts and devices that are geometrically complex, have graded material compositions, and can be customized. To take advantage of these capabilities, it is important to assist designers in exploring unexplored regions of design spaces. We present a Design for Additive Manufacturing (DFAM) method that encompasses conceptual design, process selection, later design stages, and design for manufacturing. The method is based on the process-structure-property-behavior model that is common in the materials design literature. A prototype CAD system is presented that embodies the method. Manufacturable ELements (MELs) are proposed as an intermediate representation for supporting the manufacturing related aspects of the method. Examples of cellular materials are used to illustrate the DFAM method.Mechanical Engineerin

Product-Service-Systems : What and why Developers can learn from Mass Customization

Despite their very similar objectives, delimitations or associations between the two business types of mass customization and providers of product-service-systems (PSS) cannot be found in literature. In the following article, both business types are compared with each other and mapped into a common businesstypological framework, the product-process-baseline-change matrix. Following that, the development of PSS is characterized especially with regard to the (re-)configurability of PSS over the life-cycle. Since product configuration is one of the key tools in the development and the customer co-design process in mass customization, its application to PSS is evaluated and present PSS-configuration approaches are discussed

Automation of Simulation Based Design Validation and Reporting of a Valve Family

Valves are mechanical devices for controlling fluid-flow in pipes of different diameter and service pressures used in several industry sectors. Most demanding industry sectors add custom design requirements and require product validation reports many times even before placing valve purchase orders of varying quantities. Therefore, customer and valve developer requirements must be made compatible, design reliably completed and a design validation report created, all as soon as possible. In order to respond to these market constraints, complete valve design process from product planning to product design and validation delivery must be optimized. This paper reports a 96% time reduction in Simulation Based Design validation and reporting tasks obtained by applying Design Automation in a company that develops valves for this market. Additionally, the architecture and most remarkable features of the Simulation Based Design validation and reporting automation are described

Interactive Geometric Configuration Using Sketch-Based CAD Models

Knowledge-based geometry models reduce variant design to the input of parameter values. Especially knowledge-based CAD models that incorporate geometrical data and implemented explicit knowledge offer additional possibilities. One is interactive drag-and-drop control of geometric features. This poses new requirements for the setup of CAD models as each geometric constraint, dimension and 3D feature contributes to the variability of the model. In this paper, the authors give methodological guidance to such modeling tasks by extending the CommonKADS approach with a correlation model for CAD model entities. The guidelines are visualized for the creation of an interactive, configurable steel construction model