Additive Manufacturing Automation Digital Twin

Digitized Inspection

Customer Relationship

PdM 4.0

Process Control & Big Data Analytics

Supply Chain, Management and Decision Taking

The number of processes nowadays replicated are growing including aspects such as moldability, castability, and post casting operations such as metallography, heat treatment effects and component deformation etc. Most of these process modeling are based

techniques in the

understanding of the laws of physic that govern those processes and also applying the mathematics that support those laws in conjunction with finite model techniques to define the geometries involved. The novelty that digital

transformation brings along are the models data based which can be defined in connection with real data using sensors. A digital twin learns and defines from itself using data from sensors which provide information of its different affecting variables. This approach based on data, facilitates the replication and the accuracy of the model’s predictive outcome.

Additive Manufacturing Additive manufacturing makes reference to all manufacturing techniques by material addition used in producing new complex and durable products in different materials including metal.


Additive manufacturing again has been present into the Investment Casting industry for many years now, specially in supporting rapid prototyping techniques with pattern models printed by SLA or SLS. The developments that digital transformation brings along are well known far beyond the printing of patterns, 3D wax printed patterns and 3D printed ceramic cores are starting to be used extensively and even 3D printed Shell Molds are taking its place among the applications establishing the concept of the so called “Hybrid Investment Casting”. 3D metal parts are also to be considered for the Investment Casting industry as they are intrinsically part of a supply project which might combine within their different stages 3D metal printed parts with investment casting parts. Investment Casting Industry needs to be fully involved in the application of Additive Manufacturing by incorporating the technology and the development of the associated materials to be used.

Industrial Automation

Industrial automation is a set of procedures and automatic actions applied to machines, processes or systems with the objective of achieving effectiveness, efficiency, consistency and flexibility.

Industrial Automation is an area in

which the Investment Casting industry has been actively investing for many years aiming for consistency within the different processes. Automation in wax, shell build,

melting and pouring, finishing and inspecting parts is extensively present within

the industry. However the

implementation of additional and sophisticated new sensors and the artificial vision opens the door to a new degree of integration

of automation

redefining the scope and shape of the automation, including some areas where this automation has not reached yet (i.e. NDT inspection). In addition, the implementation of big data analytics shall be providing to this automation a self-adjustment capability to ensure conform products and processes.

Process Control Based on Big Data Advances in sensors (devices capable of transforming a physical magnitude into an electrical magnitude) allow the capture of a great number of data related to different variables. The term BIG DATA refers to the great set of data, diverse, complex, structured and non-structured generated by different sensors and by the transactions within computers. The term Big Data not only refers to the size

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