Palo Alto Research Center Inc.

Johan Dekleer

Rong Zhou

Daniel Gureasko Bobrow

Robert Roy Price

Saigopal Nelaturi

Juan Liu

Ion Matei

Minh Binh Do

Morad Behandish

Bhaskar Saha

Tolga Kurtoglu

William C Janssen

Tim C Schmidt

Tomonori Honda

Lukas Kuhn

A systematic approach to constructing process plans for hybrid manufacturing is provided. The process plans include arbitrary combinations of AM and SM processes. Unlike the suboptimal conventional practice, the sequence of AM and SM modalities is not fixed beforehand. Rather, all potentially viable process plans to fabricate a desired target part from arbitrary alternating sequences of pre-defined AM and SM modalities are explored in a systematic fashion. Once the state space of all process plans has been enumerated in terms of a partially ordered set of states, advanced artificial intelligence (AI) planning techniques are utilized to rapidly explore the state space, eliminate invalid process plans, for instance, process plans that make no physical sense, and optimize among the valid process plans using a cost function, for instance, manufacturing time and material or process costs.

System and method for constructing process plans for hybrid manufacturing with the aid of a digital computer

A new and/or improved method, apparatus and/or system is disclosed which aids in extending correct behavioral models to include fault modes and in fault mode analysis of components and/or systems in simulated model environments, including, e.g., FMEA and FMECA and diagnostic fault tree generation.

Method for Modelica-based system fault analysis at the design stage

Growing community of inventors

Los Altos, CA, United States of America

Johan Dekleer