An Ontology-Driven Process Modeling Framework

Author(s):  
Gianluigi Greco ◽  
Antonella Guzzo ◽  
Luigi Pontieri ◽  
Domenico Saccà
2021 ◽  
Author(s):  
K. BUKENYA ◽  
M. N. OLAYA ◽  
E. J. PINEDA ◽  
M. MAIARU

Woven polymer matrix composites (PMCs) are leveraged in aerospace applications for their desirable specific properties, yet they are vulnerable to high residual stresses during manufacturing and their complex geometry makes experimental results difficult to observe. Process modeling is needed to characterize the effects of the curing and predict end stress states. Finite element software can be used to model woven architectures, however accurate representation of processing conditions remains a challenge when it comes to selecting boundary conditions. The effect of BCs on process-induced stress within woven PMCs is studied. The commercial Finite Element Analysis (FEA) software Abaqus is coupled with user-written subroutines in a process modeling framework. A two-dimensionally (2D) woven PMC repeating unit cell (RUC) is modeled with TexGen and Abaqus. Virtual curing is imposed on the bulk matrix. The BC study is conducted with Free, Periodic, Flat, and Flat-Free configurations. Results show that the end stress state is sensitive to the boundary condition assumptions. Flat BC results show great agreement with Periodic BCs. Residual stress results from process modeling are then compared with a linear-elastic thermal cooldown analysis in Abaqus. Cooldown results indicate an overestimation in matrix stresses compared with process modeling.


Nowadays megatrend of Industry 4.0 initiative in complex and dynamic business environments require easy and hands-on methods for enterprise modelling that will be able to recalibrate process's models constantly. Processes are often declared as being “modeled” or “documented” but seldom as being “designed.” This leads to certain afflictions in allocation of the particular resources required for the tasks of process modeling or design. There is perception of process modeling as a routine task, which is structured itself by “modeling terms and conditions” or “modeling agreement,” while “design thinking” is mainly considered as much more less structured and belonging to the artist's nature. Implementation of such models in practice or IT automation does not fit the reality because of misinterpretation from the start of modeling and multiplied on each step of model transformation. In such circumstances any thought about fruitful digitalization looks very abused. This chapter describes a set of tools and techniques for enriching organizational models with semantic information and adjusting them on request. Firstly, this chapter considers an innovative approach for the model binding with relevant documents and experts. Secondly, factors that trigger models' changes using company's information environment (field) are defined. Thirdly, an agile enterprise-modeling framework that automatically adapts to the business situation, creating context-aware working environment for employees, is introduced.


2015 ◽  
Vol 121 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Biljana Mileva Boshkoska ◽  
Talib Damij ◽  
Franc Jelenc ◽  
Nadja Damij

2020 ◽  
Vol 438 ◽  
pp. 109283
Author(s):  
Camila Leandro ◽  
Pierre Jay-Robert ◽  
Bruno Mériguet ◽  
Xavier Houard ◽  
Ian W. Renner

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