Geometrical compensation of deterministic deviations for part finishing in bulk forming

Hartmann, Christoph; Eder, M.; Opritescu, Daniel; Maier, Daniel; Santaella, Mauricio Lopez; Volk, Wolfram

doi:10.1016/j.jmatprotec.2018.06.008

Cited by 13 publications

(8 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Out of the total of 36 publications identified in the field of validation, around one-third, see [96,[102][103][104][105][106][107][108][109][110][111], are strongly related to manufacturing, while an equally large proportion, see [112][113][114][115][116][117][118][119][120][121][122][123][124], stems from the field of automotive and aerospace development. Still, five contributions, see [125][126][127][128][129], contemplate the development and production of integrated circuits.…”

Section: Validationmentioning

confidence: 99%

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Gerschütz

Sauer

Kormann

et al. 2023

Designs

View full text Add to dashboard Cite

This work aims to evaluate the current state of research on the use of artificial intelligence, deep learning, digitalization, and Data Mining in product development, mainly in the mechanical and mechatronic domain. These methods, collectively referred to as “digital engineering”, have the potential to disrupt the way products are developed and improve the efficiency of the product development process. However, their integration into current product development processes is not yet widespread. This work presents a novel consolidated view of the current state of research on digital engineering in product development by a literature review. This includes discussing the methods of digital engineering, introducing a product development process, and presenting results classified by their individual area of application. The work concludes with an evaluation of the literature analysis results and a discussion of future research potentials.

show abstract

Section: Validationmentioning

confidence: 99%

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Gerschütz

Sauer

Kormann

et al. 2023

Designs

View full text Add to dashboard Cite

show abstract

“…1a. As described by Hartmann [6], stochastic deviations are typically related to a variation in the current operating conditions, such as tribological interactions, material properties fluctuations and temperature oscillations. Such sources of deviation can hardly be identified and can only be tackled through real-time parameter adjustment techniques.…”

Section: State Of the Artmentioning

confidence: 99%

Development of a numerical compensation framework for geometrical deviations in bulk metal forming exploiting a surrogate model and computed compatible stresses

et al. 2021

Self Cite

View full text Add to dashboard Cite

The optimal design of the tools in bulk metal forming is a crucial task in the early design phase and greatly affects the final accuracy of the parts. The process of tool geometry assessment is resource- and time-consuming, as it consists of experience-based procedures. In this paper, a compensation method is developed with the aim to reduce geometrical deviations in hot forged parts. In order to simplify the transition process between the discrete finite-element (FE) mesh and the computer-aided-design (CAD) geometry, a strategy featuring an equivalent surrogate model is proposed. The deviations are evaluated on a reduced set of reference points on the nominal geometry and transferred to the FE nodes. The compensation approach represents a modification of the displacement-compatible spring-forward method (DC-SF), which consists of two elastic FE analyses. The compatible stress originating the deviations is estimated and subsequently applied to the original nominal geometry. After stress relaxation, an updated nominal geometry of the part is obtained, whose surfaces represent the compensated tools. The compensation method is verified by means of finite element simulations and the robustness of the algorithm is demonstrated with an additional test geometry. Finally, the compensation strategy is validated experimentally.

show abstract

“…The compensation strategy was based on a framework proposed for bulk forming processes [30,31]. The compensation approach was fully driven by geometrical data, which, in principle, ensures general validity and scale invariance.…”

Section: Compensation Algorithmmentioning

confidence: 99%

“…Material properties and environmental conditions are implicitly contained in the approach through the measurement data. The three key aspects pointed out in [31] in the context of bulk forming, reduce to two key aspects that also arise in AM for an efficient and effective implementation of the compensation procedure: The problem of finding a suitable manufacturing geometry presents as an inverse problem under stochastic conditions. Hence, the design process is built in an iterative manner.…”

Section: Compensation Algorithmmentioning

confidence: 99%

Compensation for Geometrical Deviations in Additive Manufacturing

et al. 2019

Self Cite

View full text Add to dashboard Cite

The design of additive manufacturing processes, especially for batch production in industrial practice, is of high importance for the propagation of new additive manufacturing technology. Manual redesign procedures of the additive manufactured parts based on discrete measurement data or numerical meshes are error prone and hardly automatable. To achieve the required final accuracy of the parts, often, various iterations are necessary. To address these issues, a data-driven geometrical compensation approach is proposed that adapts concepts from forming technology. The measurement information of a first calibration cycle of manufactured parts is the basis of the approach. Through non-rigid transformations of the part geometry, a new shape for the subsequent additive manufacturing process was derived in a systematic way. Based on a purely geometrical approach, the systematic portion of part deviations can be compensated. The proposed concept is presented first and was applied to a sample fin-shaped part. The deviation data of three manufacturing cycles was utilised for validation and verification.

show abstract

Geometrical compensation of deterministic deviations for part finishing in bulk forming

Cited by 13 publications

References 31 publications

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Development of a numerical compensation framework for geometrical deviations in bulk metal forming exploiting a surrogate model and computed compatible stresses

Compensation for Geometrical Deviations in Additive Manufacturing

Contact Info

Product

Resources

About