Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this study is to gain a better understanding of conical frictional assembly and also provide an analytical model of the bond that enables the phenomena identified by a finite element model (FEM). Design/methodology/approach Finite element analysis (FEA) of the joint enables global and local behaviours to be simulated. Conical shrink-fit joints have particular dynamics that can be described by breaking them down into three phases. During the penetration phase, the connection is correctly made. During springback, the joint is freely stressed. During extraction, the joint is pulled to its limit, activating local sliding. Based on these observations, we develop an analytical model capable of describing the bonding behaviour without using FEM. Findings The elasticity of the material and the contact mechanisms have a strong influence on the dynamics of the joint. The analytical model shows that a disassembly force is always lower than an assembly force. In addition, the contact pressure along the interface is heterogeneously influenced by the geometry and changes significantly over the life cycle. The analytical model is capable of describing global phenomena that are observed by FEA even though they may be local at the surface. The qualitative and quantitative description of the model is in good agreement with the behaviour of the FEM. Originality/value This work brings detailed explanations of contact and deformation phenomena occurring on a conical bond, providing some key concepts to efficiently describe it. It also proposes a new macroscopic model, considering local effects, to describe this assembly type that can be used for several industrial applications.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it