AEDA Success Stories AEDA Success Stories

Sucess Stories introduce projects and related research achievements obtained through a successful collaboration between industrial and scientific AEDA partners and which have proven significant applications of AEDA theoritical work on real industrial business cases.

PDF copies of these sucess stories form are available for download on this webpage.

Sucess Story 4 - October 2017

Structured Procedure for Design Automation Potential Identification

Abstract: The identification of Design Automation (DA) potential within industrial business processes is one of the first key steps to be performed before starting the specification and development of a computational DA system. The AEDA consortium developed a methodology that has been applied to the structural analysis process of portal cranes at Liebherr-Werk Nenzing GmbH (LWN) in a case study. The methodology combines the usage of existing Lean-6σ methods for process and problem analyses with an Enterprise Architecture (EA) modeling framework providing DA task templates, drivers and metrics facilitating the identification and specification of potentially applicable DA procedures and solutions. The case study at LWN achieved a refined enterprise architecture description of the process, a list of prioritized problems/ challenges plus their causes and effects, and a set of DA task building blocks which can be applied to tackle the identified potentials. Additionally, their integration within a to-be process resulted in a DA development roadmap used for the estimation of the benefits of implementing DA.

Involved partners: V-Research GmbH, Liebherr-Werk Nenzing GmbH

Sucess Story 3 - October 2016

Automated Optimisation of Box-Type Booms of Ship Cranes

Abstract: In order to live up to challenging customer requirements, Liebherr-Werk Nenzing GmbH (LWN) offers multiple variants of cranes. For each application scenario, these cranes are tailored to the customer’s specifications, i.e. load cases, environmental and boundary conditions as well as regulations and standards. The focus of the here conveyed project was mass and costoriented optimization of the dimensioning parameters of the middle section of a box-type boom crane. An optimisation algorithm and a software prototype were developed, implemented and tested. Several reference test cases were provided by LWN to assess the prototypes performance and a reduction between 5 to 10 % of the mass and cost was achieved.

Involved partners: V-Research GmbH, Liebherr-Werk Nenzing GmbH

Sucess Story 2 - October 2016

Automatic CAD Feature-Based Computation of Work Planning

Abstract: The generation of parts’ work planning at Liebherr-Werk Nenzing GmbH (LWN) (i.e. the selection of the necessary working steps, their sequence and the computation of the operation time for each step) require considerable experience and knowledge. During this project, automation tools were developed to first check the completeness and consistency of CAD models and master data and also to extract geometric parameters and machining features from these models. A Computer-Aided Production Planning (CAPP) application prototype has been developed including a knowledge base permitting to formalize and manage the geometric machining features, the manufacturing constraints and the planning rules in order to compute the
work planning of these parts.

Involved partners: V-Research GmbH, Liebherr-Werk Nenzing GmbH

Sucess Story 1 - Octobre 2015

Optimized Motion Planning for a Materials Handling Robot Realizing Space-Efficient Feedbacks in the Material Flow of Production Plants

Abstract: Panel-sizing plants are employed to cut panels of different materials to specific sizes and to then sort and stack them. In order to keep waste to a minimum also in the context of customerspecific production, cutting plans become more complex, which results in that they can only efficiently be produced on plants with feedbacks in their material flow. Within digital product development of complex, technical systems, the here described work achieved the development and virtual commissioning of a material handling robot, which keeps spatial requirements of plants to a minimum and thereto considers constantly changing spatial limitations as input.

Involved partners: V-Research GmbH, Schelling Anlagenbau GmbH