Re-imagining rotorcraft advanced design

2018 ◽  
Vol 122 (1256) ◽  
pp. 1497-1521
Author(s):  
J. D. Sinsay

ABSTRACTAdvanced design offices have traditionally applied conceptual design techniques based on semi-empirical methods in an attempt to develop an accurate prediction of aircraft designs at the end of the development process. Continuing advances in computer capability and rotorcraft analysis software present an opportunity to re-think conceptual design to include the greater use of physics-based analyses. A roadmap for developing this capability is outlined, taking into account techniques and ideas from Model-Based Systems Engineering, Design Thinking and Multidisciplinary Optimisation. Recent activities that demonstrate some of these desired capabilities are briefly described along with lessons learned.

2021 ◽  
Vol 1 ◽  
pp. 3369-3378
Author(s):  
Stephan Husung ◽  
Christian Weber ◽  
Atif Mahboob ◽  
Sven Kleiner

AbstractModel-Based Systems Engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.


Author(s):  
Nathan L. Eng ◽  
Rob H. Bracewell ◽  
P. John Clarkson

Engineering design thinking combines concepts from heterogeneous sources like personal experience, colleagues, digital and hardcopy media. Despite this challenge, modes of thinking across levels of abstraction through multi-dimensional (spatial) representations are widely neglected in digital support systems. This paper aims to summarize lessons learned through years of experience with software tools that augment this visio-spatial conceptual thinking. This work cuts across disciplines to provide a needed, coherent starting point for other researchers to examine complex outstanding issues on a class of promising support tools which have yet to gain widespread popularity. Three studies are used to provide specific examples across design phases, from conceptual design to embodiment. Each study also focuses on an exemplar of diagrammatic software: the University of Cambridge Design Rationale editor (DRed), the Institute for Human Machine Cognition’s (IHMC) CmapTools and the Open University’s Compendium hypermedia tool. This synthesis reiterates how hypermedia diagrams provide many unique, valuable functions while indicating important practical boundaries and limitations. Future research proposed includes: a need to build more diagrammatic literacy into engineering practice, the need for more detailed studies with experts in industry and specific directions for refining the hypermedia diagram software interfaces.


2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Martin Rabe ◽  
Harald Anacker ◽  
Thorsten Westermann ◽  
Roman Dumitrescu

The machinery and plant engineering sector is faced with new challenges due to the shift to intelligent technical systems and the need to integrate intelligence into machines. In addition, machinery and plant engineering means customized orders which result in engineering-to-order products and a different development process comparing to serial production. The present contribution shows the potential of model-based systems engineering during the whole developments process from the acquisition to distribution and start-up.


A fundamental idea has emerged from the study of the work of Genichi Taguchi in off-line quality control. A product should be designed so that it is robust against variations in the manufacturing process and the environment in which it is used. But the idea is not entirely new. It appears in various forms in the vogues and syntax of modern engineering design. Thus we have ‘design to product’, ‘design for manufacture’, ‘conceptual design and innovation’, ‘systematic methodologies’ and so forth. It is the ability to describe robustness in statistical terms that ought to create a change in design thinking. But for this to happen professionals on both sides need to understand each other’s language. The paper attempts to bridge the gap by drawing heavily on the language of engineering design and giving recent examples of product design where both modes of thinking have benefited from each other.


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