Concept Design

The work leading to a good design solution starts with analysing and understanding our customers business model and strategic goals. Furthermore, we acknowledge the importance of fully comprehend the current production process. This is accomplished by utilizing the customer’s process knowledge, so that we can propose the best suited process design solution.

Our interdisciplinary team with wide industrial experience, can lead and/or provide support in the design process and define requirement specification and goals alongside the customer.

We recommend customers to introduce a digital twin already in the conceptual phase, and continuously develop the twin through the process lifecycle. In the conceptual phase, a simplified 3D model of the desired solution is defined. The 3D model is working as a “data carrier”, in which we assign basic physical behavior and kinematics. By utilizing this methodology, initial behavior simulation can be defined and studied. This enables early identification of possible design flaws and thus prevent large rework operations in the detail engineering phase.

Engineering

Modern engineering tools enables new and efficient design and engineering processes. Where the industry up until today have been depending on paper documentation for production, modern production equipment allows usage of digital production data.

We can deliver production documentation based on the customers needs, both conventional and modern formats. For internally developed solutions we already deliver complete paperless production documentation packages.

We can offer the following engineering services:

Engineering management
Mechanical engineering
FEM analysis
Automation engineering
Safety engineering
Support long lead procurement

Digital twin

Digital continuity is an important topic for us; thus, our methodology revolves around the usage of a digital twin. A 3D model of the physical assets is the base component of the twin and is working as a “data carrier” containing the necessary metadata and information. Physical behavior of the different components are analysed through suppliers data sheets and applied to the corresponding twin model. Kinematics of moving components are also defined, including inverse kinematics of robot manipulators.

With the necessary mechanisms and kinematics in place, programming of the automated solutions in the twin is performed. Programming in the digital twin is often referred to as offline programming. A completed program may be ran as a simulation on a computer or on the physical twin. The ability to simulate the process is an excellent method to visualize how the physical objects will move and interact with each other, as well as detecting clashes and other irregulatities in the program before it happens in the physical world.

In a production setting, sensor and process data are collected and stored in the digital twin. This data can be used to analyze different parameters of the production execution, and thus improving efficiency.