Integrated Design of Complex Mechanical Products Considering Modeling, Simulation and Optimization Aspects
Bibliographic record
Abstract
The presently developed computer-based design systems are not effective for design of complex mechanical products when multiple tools and methods in different schemes have to be employed at different design stages. In this research, a new integrated framework has been introduced for the design of complex mechanical products considering modeling, simulation/evaluation, and optimization aspects. An integrated system for design of complex mechanical products has also been developed. In this system, first a hybrid scheme is introduced for integrated modeling of complex mechanical products considering conceptual design and detailed design stages. In conceptual design, the generic product considering different design solution candidates is modeled in an AND-OR tree. Specific design candidates modeled by AND trees are created from the generic AND-OR tree through tree-based search. The geometric descriptions in a design candidate are then converted into and associated with the geometric model in a CAD system for detailed design. Second, a hybrid simulation method is developed for evaluating different product aspects with different simulation tools that are integrated through the hybrid modeling scheme. Simulations with geometric descriptions are conducted by analysis functions of the CAD system for detailed design. Simulations with non-geometric descriptions are conducted by the knowledge-based systems for conceptual design. Third, a hybrid optimization method is developed to identify the optimal design of the complex mechanical product. For each design candidate, parameter optimization is conducted to obtain the optimal parameter values. The optimal design solution is identified from all design candidates through configuration optimization. The integrated complex mechanical product design system has been implemented using C# and SOLIDWORKS. Various user interfaces were developed for conducting design activities in modeling, simulation/evaluation and optimization aspects. Communication between the symbolic model in conceptual design and the CAD model in detailed design was achieved through TCP/IP client-server structure and SOLIDWORKS API. A case study has been developed to demonstrate the effectiveness of the newly-introduced design approach.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Framework for integrated design, simulation and optimization of mechanical products; engineering design.
The dissertation develops an integrated engineering design system.
Integrated design framework for mechanical products; engineering design methods, not metaresearch.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".