Browsing by Author "Goher, Kamran"

Now showing 1 - 9 of 9
  • Thumbnail Image
    ItemOpen Access
    Challenges of model-based definition for high-value manufacturing
    (IOS, 2019-09-12) Goher, Kamran; Shehab, Essam; Al-Ashaab, Ahmed
    Manufacturing Industry is moving towards adoption of 3D models as the ultimate authoritative source for complete product definition replacing 2D drawings, which is called “Model-Based Definition”. Starting its journey from geometric information on design, manufacturing, and inspection, the targets are to achieve the ultimate goal of lifecycle model based enterprise, requiring MBD to be more comprehensive and challenging structure of information instead of just a geometric model. The industry has not yet fully achieved implementation of MBD to whole product lifecycle. This journey is long and tough, and we are still at an early stage, but it will be a decisive factor in gaining competitive advantage by the early adopters, especially in high-value manufacturing. Complete adoption of MBD has several issues and challenges that need to be addressed. This paper presents a review of current literature, intending to cover present state of knowledge, issues, challenges, and future research directions, in the development and adoption of MBD.
  • Thumbnail Image
    ItemOpen Access
    An experimental investigation on Cryo-LN2 turning of hardened steel: a sustainability assessment
    (IOS Press, 2019-09-12) Khan, Aqib Mashood; Jamil, Muhammad; Hao, Xiuqing; Ning, He; Sarfraz, Shoaib; Goher, Kamran; Shehab, Essam
    To achieve an excellent workpiece surface quality and long tool life in machining of hardened steel is an inordinate challenge. Recently, conventional flood cooling assisted machining processes are used to address this problem. However, such proposed processes have adverse effects on the environment as well as on the machine shop worker’s health. Hence, in this study, the effects of traditionally used flood cooling and sustainable Cryo-LN2 techniques on the six machining indices, such as surface roughness, cutting power, energy consumption, tool life, tool wear, and productivity in the external turning of AISI-52100 have been investigated. Comparative results showed that Cryo-LN2 technique outperformed flood cooling for all measured indices. The Cryo-LN2 assisted turning process yielded 18% less energy consumption and 66% more productivity. The findings of the current study encourage metal processing industries to use such type of sustainable techniques in the machine shop.
  • Thumbnail Image
    ItemOpen Access
    Lean model-based definition framework for product life cycle
    (Cranfield University, 2019-05-09 10:32) Goher, Kamran
    Poster presented at Cranfield University’s 2019 Manufacturing Doctoral Community event.
  • Thumbnail Image
    ItemOpen Access
    Model-based definition and enterprise: state-of-the-art and future trend
    (Sage, 2020-11-17) Goher, Kamran; Shehab, Essam; Al-Ashaab, Ahmed
    Model-Based Definition (MBD) is being adopted by the manufacturing industry as a single source for all product information in place of conventional 2D drawings. This paper aims to review the current literature on Model-Based Definition (MBD) and Model-Based Enterprise (MBE) to recognize the main contributions towards the development and implementation of MBD and explore its various perspectives. The publications encompassing technology and applications of MBD are categorized into seven domains. These domains are lifecycle information; design, discrete part manufacturing, and inspection; assembly; maintenance, repair, and overhaul; process planning; engineering change management; and contemporary aspects of digital product definition. The major outcomes of research literature, in these domains, are reviewed and future research directions are identified and formulated. Additionally, the paper highlights the issues and challenges associated with the realization of MBE by the manufacturing industry. These issues are categorized into technical, management, and certification categories. The prevalent issues in each of these categories are further discussed and analyzed
  • Thumbnail Image
    ItemOpen Access
    Model-based enterprise framework for aerospace manufacturing engineering
    (IOS, 2019-10-12) Shehab, Essam; Schuler, Margaux; Bamforth, Philip; Goher, Kamran
    In the context of aerospace digital transformation, gaining and maintaining competitive advantage has led aerospace manufacturers to change how product definition is communicated. Model-Based Definition (MBD) and Enterprise (MBE) are the next generations of product definition that aim to move from 2D drawings to a full 3D digital model. Even though traditional engineering drawings still play an essential role in product development, developing an MBE today, for an aerospace company, deals primarily with its fundamentals: how significant benefits are? This work focuses on defining the MBE value stream framework and evaluating the potential improvements that can be realised for MBE within an aerospace manufacturing engineering (ME) context. To achieve this aim, a methodological triangulation has been adopted through the framework. Based on a ME business case and value stream case study, findings suggest a significant reduction of manufacturing lead-time and cost as well as an improved quality of both the product and the process, resulting in less rework. The developed framework and analysis method have been successfully applied and validated to two different aerospace ME processes. Based on a data-driven approach, it proposes a reliable evaluation of potential improvements for MBE. Successful implementation of the MBE concept relies on maximising its potential benefits. Hence, this industrial research project and its key findings contribute to the development of a strategy for implementing MBE within the aerospace manufacturing company to enable a lean and efficient consumption of product definition.
  • Thumbnail Image
    ItemOpen Access
    Towards an uncertainty management framework for model-based definition and enterprise
    (IOS Press, 2021-07-05) Goher, Kamran; Shehab, Essam; Al-Ashaab, Ahmed; Sarfraz, Shoaib
    Globally the manufacturing industry is undergoing a shift in the way product specifications are defined, used, and re-used from conventional drawing-based systems to a comprehensive 3D digital product model. This transformation is at the heart of the digitization processes. The true benefits lie in the adoption of this technology throughout the product lifecycle. However, this digital transformation is partial and many of the stages in the product lifecycle are still heavily reliant on traditional drawings. This is due to the involvement of several uncertainties in the process of adoption of model-based definition. In this paper, a framework is proposed for the systematic assessment of the prevailing uncertainties in the adoption of model-based definition and enterprise. The framework proposed in this paper is aimed at identifying, categorizing, prioritizing, and mitigating the uncertainties in this process.
  • Thumbnail Image
    ItemOpen Access
    Trends in model-based definition based assembly information in high-value manufacturing
    (National Institute of Standards and Technology (NIST), 2020-04-03) Goher, Kamran; Shehab, Essam; Al-Ashaab, Ahmed
    3D modelling is in use for the last many decades at various stages of the product lifecycle i.e., design, analysis, manufacturing, and inspection. In the modern era of Industry 4.0 where the high-value manufacturing industry is aiming at the digital thread, Model-Based Definition (MBD) has been considered as the heart of this transformation. However, MBD needs to be realized throughout the product lifecycle to get full advantage. In literature, considerable work has been found focusing on a shift from traditional 2D drawings to MBD. The majority of this work concentrates on design, manufacturing, and inspection stages, whereas, there is a lack of work in the area of MBD based assembly information. This paper focuses on the current state of knowledge in MBD based assembly information, trends, challenges, and future research directions.
  • Thumbnail Image
    ItemOpen Access
    Uncertainties in adoption of model-based definition and enterprise for high-value manufacturing
    (IOS Press, 2021-09-10) Goher, Kamran; Shehab, Essam; Al-Ashaab, Ahmad; Sarfraz, Shoaib
    The world is adopting digital technologies at a rapid pace which are the key enablers to improve every walk of life in the modern era. This quest for digitization has equal rigor within the manufacturing industry. 2D drawings have been used historically to define the specifications of a product for manufacturing. The evolution in digital technologies has made it possible to improve the way of representing these specifications in the form of 3D models which is known as Model-Based Definition (MBD). However, the 2D representation is still the authoritative source within the industry for engineering definition and related documents in the product lifecycle. Though MBD has been adopted in design, discrete part manufacturing, and inspection stages to some extent, the industry heavily relies on the conventional 2D representation of product definition. The digitization process of product definition lies within the adoption of MBD as the authoritative source for all the enterprise activities which is referred to as Modelbased Enterprise (MBE). However, there are several uncertainties and risks in this process. In this work, it is ascertained to formulate the key uncertainties in the transformation towards MBD/E. These uncertainties are categorized and analyzed further for visualization.
  • Thumbnail Image
    ItemOpen Access
    An uncertainty management framework to support model-based definition and enterprise
    (Elsevier, 2023-05-30) Goher, Kamran; Al-Ashaab, Ahmed; Sarfraz, Shoaib; Shehab, Essam
    In pursuit of industrial digitalisation, the manufacturing industry is going through a transformation in the methods for product definition from the traditional two-dimensional drawing to three-dimensional digital model known as the model-based definition (MBD). The real benefit of this digitalisation lies in the adoption of model-based definition across all stages of the product lifecycles throughout the enterprise and its supply chain which is termed as model-based enterprise (MBE). However, the current application of this technology is partial, due to the involvement of several associated uncertainties. This paper proposes a novel framework for the management of uncertainties in the adoption of the model-based definition and presents a system in support of the proposed framework. The development commenced with the collaboration of two major aerospace industries. The framework comprises five phases including the preliminary phase, identification, assessment, analysis, and response phase. A systematic process is followed in developing the framework while Numeral, Spread, Assessment, and Pedigree (NUSAP), and Analytical Hierarchy Process (AHP) are used in the assessment of uncertainties. The developed system consists of a user interface, a database of uncertainties, an assessment module, an analysis and prioritisation module, and a knowledge base of mitigation strategies for key uncertainties. The system facilitates the analyst to select the relevant uncertainties from a defined list, systematically assess and analyse each of the uncertainty and obtain recommendations for mitigation of the prioritised uncertainties in the project. The framework and the developed system were validated through expert interviews with two world-class aerospace companies. This system facilitates identifying the various types of uncertainties of MBD, quantifying their impact on the project rationally, and formulating a suitable management strategy for achieving the status of a model-based enterprise.