STEP COMPLIANT APPROACH FOR TURN-MILL OPERATIONS

Current machine tools have incurred challenges on limitation such as part programming complexity of G and M code, weak integration of digital machine tools and coverage of universal data modeling for product and manufacturing resources. In response to this manufacturing system requirement, Standard for Exchange of Product data (STEP) and its implementation on developing an interface for the next generation of machine tool controllers (STEP-NC) has become a concern of research interest and performed on basic manufacturing technology limited to a unit domain such as turning, milling or Wire EDM. Therefore; extending this STEP implementation on multipurpose machine tools such as turn-mill machines is mandatory since the machines are the main component in these industries. The research work offers a STEP-NC compliant interface supporting turn-mill machining environment identified as SCSTMO

A process model in platform independent and neutral formal representation for design engineering automation

An engineering design process as part of product development (PD) needs to satisfy ever-changing customer demands by striking a balance between time, cost and quality. In order to achieve a faster lead-time, improved quality and reduced PD costs for increased profits, automation methods have been developed with the help of virtual engineering. There are various methods of achieving Design Engineering Automation (DEA) with Computer-Aided (CAx) tools such as CAD/CAE/CAM, Product Lifecycle Management (PLM) and Knowledge Based Engineering (KBE). For example, Computer Aided Design (CAD) tools enable Geometry Automation (GA), PLM systems allow for sharing and exchange of product knowledge throughout the PD lifecycle. Traditional automation methods are specific to individual products and are hard-coded and bound by the proprietary tool format. Also, existing CAx tools and PLM systems offer bespoke islands of automation as compared to KBE. KBE as a design method incorporates complete design intent by including re-usable geometric, non-geometric product knowledge as well as engineering process knowledge for DEA including various processes such as mechanical design, analysis and manufacturing. It has been recognised, through an extensive literature review, that a research gap exists in the form of a generic and structured method of knowledge modelling, both informal and formal modelling, of mechanical design process with manufacturing knowledge (DFM/DFA) as part of model based systems engineering (MBSE) for DEA with a KBE approach. There is a lack of a structured technique for knowledge modelling, which can provide a standardised method to use platform independent and neutral formal standards for DEA with generative modelling for mechanical product design process and DFM with preserved semantics. The neutral formal representation through computer or machine understandable format provides open standard usage. This thesis provides a contribution to knowledge by addressing this gap in two-steps: • In the first step, a coherent process model, GPM-DEA is developed as part of MBSE which can be used for modelling of mechanical design with manufacturing knowledge utilising hybrid approach, based on strengths of existing modelling standards such as IDEF0, UML, SysML and addition of constructs as per author’s Metamodel. The structured process model is highly granular with complex interdependencies such as activities, object, function, rule association and includes the effect of the process model on the product at both component and geometric attributes. • In the second step, a method is provided to map the schema of the process model to equivalent platform independent and neutral formal standards using OWL/SWRL ontology for system development using Protégé tool, enabling machine interpretability with semantic clarity for DEA with generative modelling by building queries and reasoning on set of generic SWRL functions developed by the author. Model development has been performed with the aid of literature analysis and pilot use-cases. Experimental verification with test use-cases has confirmed the reasoning and querying capability on formal axioms in generating accurate results. Some of the other key strengths are that knowledgebase is generic, scalable and extensible, hence provides re-usability and wider design space exploration. The generative modelling capability allows the model to generate activities and objects based on functional requirements of the mechanical design process with DFM/DFA and rules based on logic. With the help of application programming interface, a platform specific DEA system such as a KBE tool or a CAD tool enabling GA and a web page incorporating engineering knowledge for decision support can consume relevant part of the knowledgebase

A Novel Virtual Product Modelling Framework for Design Automation in a Knowledge-Based Engineering Environment

Computer Aided Design (CAD) has been widely used for product modelling in the industry, where multiple issues arise, such as lack of product data representation and capturing and reusing the existing design knowledge in the modelling process. Existing CAD systems only provide geometric data within the CAD models and require users to have knowledge of the product to judge the correctness of the modelling process. Knowledge-Based Engineering (KBE) has been introduced to assist product design with the capabilities of knowledge capturing and reusing. However, there is always a “black box” problem in understanding the existing KBE applications, and the substantiation steps for the implementation of KBE frameworks are still limited. To address this, the author proposed and implemented a Virtual Product Modelling (VPM) framework that helps capture and reuse existing product information to enhance the modelling process for design automation. This framework was built as a knowledge-based product modelling environment using a gaming engine. It was further evaluated through three use cases, where the proposed framework was applied to simple parts with primitive geometric features, a hex bolt, and a wheel assembly. The results of the use case evaluation indicate that this framework satisfies all the identified measurement parameters and achieves the aim of the research. This research enhances the product modelling process with the capabilities of generative representation, knowledge capturing and reusing. It provides design engineers with the knowledge reasoning capability when they are making changes to the product model and, therefore, saves time and prevents engineers from making mistakes. This research also presents a KBE implementation framework with detailed substantiation steps, where the knowledge is structured and reusable within the product model. Further, the findings of this research have shown the potential of the developed VPM framework in aspects such as standard development in product modelling, extending to non-engineers and integration with VR/AR visualisation techniques