CAx für Ingenieure

Vajna, Sándor; Weber, Christian; Zeman, Klaus; Hehenberger, Peter; Gerhard, Detlef; Wartzack, Sandro

doi:10.1007/978-3-662-54624-6

Cited by 79 publications

(24 citation statements)

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“…Therefore, Data Mining methods can be divided into various types of analyses, which all provide different types of results, e.g. number values, assigned classes or groups (Vajna et al, 2018). A selection of process classes and their objectives is shown in Table 1.…”

Section: Data Mining Methodsmentioning

confidence: 99%

How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers

Bickel¹,

Spruegel²,

Schleich³

et al. 2019

Proc. Int. Conf. Eng. Des.

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Current trends in product development are digital engineering, the increasing use of assistance tools based on artificial intelligence and in general shorter product lifecycles. These trends and new tools strongly rely on available data and will irreversibly change established product development processes. One example for such a new data driven tool is the plausibility check of linear finite element simulations with Convolutional Neural Networks (CNN). This tool is capable of determining whether new simulation results are plausible or non-plausible according to numeric input data. The digitalization and the increased use of data driven tools employing algorithms known from Artificial Intelligence also shifts the roles of many involved engineers. This paper describes and highlights this transition from current product development processes to a data driven / simulation driven product development process. Particularly, the shifts and changes of different roles and domains are illustrated and an example for changing roles in the design and simulation department is described. Furthermore, required adjustments in the design process are derived and compared to the current status.

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Section: Data Mining Methodsmentioning

confidence: 99%

How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers

Bickel¹,

Spruegel²,

Schleich³

et al. 2019

Proc. Int. Conf. Eng. Des.

Self Cite

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“…In most engineering contexts the modelling conventions are fairly clear and standardised (e.g. [64]), so that engineers do not have to think about what is included in a model.…”

Section: The Central Role Of Data Modelsmentioning

confidence: 99%

Data Fairy in Engineering Land: The Magic of Data Analysis as a Sociotechnical Process in Engineering Companies

Eckert

Isaksson

Eckert

et al. 2020

Journal of Mechanical Design

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In the era of digitalization, manufacturing companies expect their growing access to data to lead to improvements and innovations. Manufacturing engineers will have to collaborate with data scientists to analyze the ever-increasing volume of data. This process of adopting data science techniques into an engineering organization is a sociotechnical process fraught with challenges. This article uses a participant observation case study to investigate and discuss the sociotechnical nature of the adoption data science technology into an engineering organization. In the case study, a young data scientist/statistician interacted with experienced production engineers in a global automotive organization to mutual satisfaction. However, the case study highlights the mis-aligned expectations between engineers and data scientists and knowledge in what is necessary to successfully benefit from manufacturing process data. The results reveal that the engineers had an initially romantic and idealistic view on how data scientists can bring value out of dispersed and complex information residing in the multisite manufacturing organization’s datasets in a “magic” way. Conversely, the data scientist had not enough engineering and contextual understanding to ask the right questions. The case reveals important shortcomings in the sociotechnical processes that undergo changes as digitalization is brought into mature engineering organizations and points to a lack of knowledge on multiple levels of the data analysis process and the ethical implications this could have.

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“…Da moderne CAD-Systeme einen parametrischen Modellaufbau unterstützen, ist es möglich Konstruktions-und Prozesswissen durch Regeln in die CAD-Modelle zu implementieren [6]. Damit lassen sich diese wissensbasierten Modelle direkt in den Produktentwicklungsprozess einbinden, da bereits bewährte Lösungsprinzipien für spezifische Aufgaben zur Verfügung gestellt werden.…”

Section: Stand Der Technikunclassified

“…Die Einzelteildateien werden als sogenannte Gestaltelemente bezeichnet und sind eine Gestaltlösung für die jeweilige Gestaltungszone. Die Geometrie der Gestaltelemente ist parametrisiert und lässt sich mittels einiger weniger Schnittstellenparameter durch übergeordneter Führungsparameter [6] manipulieren. Auf diese Weise wird z.B.…”

Section: Stand Der Technikunclassified

Rechnergestützte Entwicklungsumgebung zur Konstruktion von Tailored-Forming-Bauteilen

Brockmöller¹,

Siqueira²,

Mozgova³

et al. 2019

DFX 2019: Proceedings of the 30th Symposium Design for X, 18-19 September 2019, Jesteburg, Germany

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This article describes an approach for designing knowledge based Computer Aided Design (CAD) models to represent the complete solution space of the Tailored Forming process chain by depicting the production stages of a component. The aim is to use this knowledge base to determine during the product development process whether the desired component can be manufactured with the available equipment, even if the design engineer does not have the necessary expert knowledge. In addition to the model structure, the implementation of the manufacturing restrictions and the dependencies between the different production stages are shown. The procedure is described using the newly developed tailored forming process chain as an example.

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CAx für Ingenieure

Cited by 79 publications

References 0 publications

How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers

How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers

Data Fairy in Engineering Land: The Magic of Data Analysis as a Sociotechnical Process in Engineering Companies

Rechnergestützte Entwicklungsumgebung zur Konstruktion von Tailored-Forming-Bauteilen

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