Design for Multi-lifecycle: A sustainable design concept applied to an agroindustrial development project
Bibliographic record
Abstract
Sustainability of technologies has been the central focus of many international debates,seminars and forums. The need for sustainable technologies in the developing countries isparticularly critical in view of their limited financial and techno-capability. Designing forsustainability requires the consideration of a number of factors such as how to minimize totallifecycle cost, techno-capability of the local technicians in maintaining and improving thetechnology, minimizing environmental cost of using the technology, end-of-life management ofthe technology and several other factors that are relevant to the location where the technologywill be deployed. In this design and development project, a shelling machine was designed formulti-lifecycle. The essence of this design paradigm was to facilitate unlimited use and reuse ofthis technology. The design concept is based on an integrated concept of design for modularity,disassembly, maintainability and remanufacturing. The machine can be used to shell/threshvarious types of farm produce such as rice, sorghum, cowpea and rye by changing the concaveand the cylinder. The configuration of the machine enables access to most of the componentparts without changing the tools needed for disassembly because the same type of fastenerswas used. Furthermore, the functional units (the shelling unit, the separation unit and thegrading unit) were assembled into modules such that only the faulty part needs to be replacedwhen necessary. The design is so simplified that the operator can make the changes fordifferent uses without any difficulty. The machine has been successfully tested on corn, peanutsand other agricultural produce. The modularity of the functional unit facilitates the multi-lifecycleuse of machine and/or its component parts. The uniformity of the liaisons and simplification ofthe configuration will reduce both the disassembly times and maintenance cost. By thisunlimited usability/reusability of the machine, the material requirements for producing brand new machines are conserved, environmental emissions that would be associated with themanufacture; transportation and disposal of the machines are eliminated while the capitalrequirements by farmers for machinery replacement are minimized. Consequently, the totallifecycle cost is minimized while the eco-efficiency is maximized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".