Physical prototyping during early stage design typically represents an iterative process. Commonly, a single prototype will be used throughout the process, with its form being modified as the design evolves. If the form of the prototype is not captured as each iteration occurs understanding how specific design changes impact upon the satisfaction of requirements is challenging, particularly retrospectively.In this paper two different systems for digitising physical artefacts, structured light scanning (SLS) and photogrammetry (PG), are investigated as means for capturing iterations of physical prototypes. First, a series of test artefacts are presented and procedures for operating each system are developed. Next, artefacts are digitised using both SLS and PG and resulting models are compared against a master model of each artefact. Results indicate that both systems are able to reconstruct the majority of each artefact's geometry within 0.1mm of the master, however, overall SLS demonstrated superior performance, both in terms of completion time and model quality. Additionally, the quality of PG models was far more influenced by the effort and expertise of the user compared to SLS.
No abstract
Conveyor belt systems comprise a fundamental means of transferring bulk materials throughout industry. Typically, they are subjected to very high levels of utilisation and, because of their criticality to process flow, high reliability is demanded. Currently preventative approaches to the maintenance of conveyor systems are implemented in the majority of applications, in which time-based intervention intervals are applied. The effectiveness of time-based intervals can be limited, as their premise is based upon an assumption that asset condition is solely a function of operating time. In practice degradation of systems is primarily a function of usage, affected by intensity as well as duration of operation. Consequentially, this paper aims to investigate the feasibility of inferring the usage of a conveyor belt system from observation of changes in drive motor electrical power consumption and speed, to support improvements in maintenance effectiveness.First, an industrial conveyor belt system is instrumented, and a range of test scenarios are designed such that the responses of parameters to various system usage patterns can be characterised. Through inspection of these responses it is found that the monitored parameters do show sensitivity to changes in operational conditions such as utilisation, inclination and loading events, and it is therefore feasible to infer conveyor belt system usage from motor power consumption and speed only. Next, a series of proxies for describing system usage are then proposed, as a means of transforming raw parameters into usage profiles. Finally, the technical challenges facing an industrial implementation of the proposed approach are discussed, and consideration given to how usage information may provide value to operators outside of maintenance.
No abstract
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