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Institute for Sanitary Engineering, Water Quality and Solid Waste ...

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<strong>Institute</strong> <strong>for</strong> <strong>Sanitary</strong> <strong>Engineering</strong>, <strong>Water</strong> <strong>Quality</strong> <strong>and</strong> <strong>Solid</strong> <strong>Waste</strong> Management<br />

Dissertations<br />

Systematic design <strong>and</strong> process optimisation of<br />

a robot <strong>for</strong> treatment of biomass in solar dryers<br />

Innovation stress <strong>and</strong> short product life cycles in the<br />

industrial sector of biomass processing ask <strong>for</strong> clear<br />

methodical procedures during the design process. Currently,<br />

there is a lack of systematic approaches to the<br />

development process of technical systems in this sector.<br />

There<strong>for</strong>e, in this work the design method proposed<br />

by The Association of German Engineers (VDI) was<br />

tested <strong>and</strong> adapted to the context of biomass process<br />

engineering. The development of a mixing <strong>and</strong> transporting<br />

robot <strong>for</strong> solar biomass dryers exemplifies the<br />

potential of that systematic <strong>and</strong> scientific approach.<br />

First, the requirements on the robot were determined<br />

to set up in ‘requirements lists’. A ‘conflict matrix’<br />

supported identification <strong>and</strong> elimination of conflicts<br />

of aims. The requirements on the functions of the robot<br />

were abstracted <strong>and</strong> arranged in several ‘function<br />

structure plans’. For each function, various potential<br />

‘working principles’ were identified <strong>and</strong> organised in<br />

several ‘morphological matrices’. In order to select exclusive<br />

reliable <strong>and</strong> cost-efficient components each of<br />

the 155 identified working principles was benchmarked<br />

in a ‘pre-evaluation matrix’. The best-marked components<br />

were chosen <strong>and</strong> combined to two promising preliminary<br />

concepts <strong>for</strong> the robot.<br />

Prototype of the biomass processing robot during a<br />

field test<br />

Next, the modules of the robot were refined <strong>and</strong> worked<br />

out to two preliminary embodiment designs, solution<br />

(1) <strong>and</strong> (2). Be<strong>for</strong>e releasing <strong>for</strong> production,<br />

both designs were technically <strong>and</strong> economically evaluated.<br />

As result, the economically <strong>and</strong> technically<br />

weak points were identified. The product strength s of<br />

the solutions <strong>for</strong> the robot was computed as s 1<br />

=0.79<br />

<strong>and</strong> s 2<br />

=0.70. Solution (1) was there<strong>for</strong>e selected <strong>for</strong><br />

being designed in detail. For detail design phase, an<br />

approach is presented to combine novel Digital Mock-<br />

Up (DMU) techniques with the VDI design method.<br />

As result, especially FEM structure analysis, collision<br />

<strong>and</strong> assembly analyses were integrated into the VDI<br />

procedure. Prior to building the first physical prototype<br />

design problems were identified <strong>and</strong> solved on<br />

the digital prototype ranging from geometrical errors<br />

to impossible assembly sequences. In addition, this<br />

work shows a strategy <strong>for</strong> Product Data Management<br />

(DMU). Data in<strong>for</strong>mation loss was there<strong>for</strong>e reduced<br />

<strong>and</strong> data safety was increased since the suppliers got<br />

exclusively the manufacturing in<strong>for</strong>mation they needed<br />

actually. Finally, a physical prototype was manufactured<br />

<strong>and</strong> tested be<strong>for</strong>e market release. For this testing<br />

phase, an optimisation approach was integrated<br />

into the VDI design process. That approach was exemplified<br />

by optimising the mixing <strong>and</strong> transporting module<br />

of the biomass processing robot. During testing<br />

Optimised biomass processing robot after release <strong>for</strong><br />

serial production in a solar dryer <strong>for</strong> sewage sludge<br />

near Vienna, Austria<br />

Digital analyse of human/machine interaction during<br />

opening the hinged moror cap of the biomass processing<br />

robot<br />

64

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