Award Abstract # 1547075
EAGER: Cybermanufacturing: Design and analysis of a cyberphysical systems approach for custom manufacturing kiosks

NSF Org: ECCS
Division of Electrical, Communications and Cyber Systems
Recipient: TEXAS A&M ENGINEERING EXPERIMENT STATION
Initial Amendment Date: September 4, 2015
Latest Amendment Date: September 4, 2015
Award Number: 1547075
Award Instrument: Standard Grant
Program Manager: Radhakisan Baheti
ECCS
 Division of Electrical, Communications and Cyber Systems
ENG
 Directorate for Engineering
Start Date: September 1, 2015
End Date: August 31, 2018 (Estimated)
Total Intended Award Amount: $300,000.00
Total Awarded Amount to Date: $300,000.00
Funds Obligated to Date: FY 2015 = $300,000.00
History of Investigator:
  • Panganamala Kumar (Principal Investigator)
    prk@tamu.edu
  • Arun Srinivasa (Co-Principal Investigator)
  • Ergun Akleman (Co-Principal Investigator)
  • Satish Bukkapatnam (Co-Principal Investigator)
Recipient Sponsored Research Office: Texas A&M Engineering Experiment Station
3124 TAMU
COLLEGE STATION
TX  US  77843-3124
(979)862-6777
Sponsor Congressional District: 10
Primary Place of Performance: Texas A&M Engineering Experiment Station
Dept of Mechanical Engineering
College Station
TX  US  77843-3123
Primary Place of Performance
Congressional District:
10
Unique Entity Identifier (UEI): QD1MX6N5YTN4
Parent UEI: QD1MX6N5YTN4
NSF Program(s): NANOSCALE: INTRDISCPL RESRCH T,
ENG IDR-Eng Interdisciplin Res
Primary Program Source: 01001516DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1674, 7916, 7951
Program Element Code(s): 167400, 795100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

Recent advances in computing, communication and manufacturing technologies promise the possibility of cost-effective production of custom, high quality components especially in medical, energy, aerospace and consumer appliance industry. Custom manufacturing machines operating standalone in kiosks, possibly within home supply stores, operated by a non-technical workforce may enable broad retail customer use. A major challenge to this vision is the high cost of quality loss in the current 3-D printing processes. Breakthrough approaches for quality assurance, similar to what the photocopying sector has achieved, are necessary to deploy custom manufacturing technologies as service kiosks. Unlike in high volume manufacturing, real-time control is essential for deploying custom manufacturing systems as a service. It is unrealistic to design and plan a production process to realize arbitrary geometric features from a wide variety of materials. This EArly-concept Grant for Exploratory Research (EAGER) project explores real-time control issues at the core of a novel machine tool system for creating custom components from sheet precursors using a sequence of cut-bend-fold (kirigami) operations. A kirigami machine consists of a laser cutter, a robotic arm with a forming tool, and an indexer. It offers significant advantages over the current 3-D printing paradigms for custom manufacturing, as sheet precursors are cheaper and easier to handle, and it takes just minutes versus hours to create complex parts including large lightweight functional components.

The project's approach combines recent advances in CPS, passive wireless sensing, low latency communications and digital image correlation for real-time quality assurance. The sheet precursors will be embedded with thermochromics particles so that as the sheet is being shaped, the particles serve as a swarm of mobile passive sensors whose instantaneous location and distortion are discerned using cameras to estimate the process state (mainly temperature and deformation fields) at unprecedented granularity, and control laws synthesized to tune process parameters and actuator motion to mitigate quality issues. This is a departure from the currently held thoughts on Cybermanufacturing using powder rather than sheet based process, and leverages dynamic CPS based coordination employing novel swarm based sensors instead of static open-loop planning. The novel passive swarm sensing is potentially a huge advancement in disaggregating process variables. The principal investigators will address the challenges associated with placement of cameras to capture information from dynamic sensors, addressing issues such as occlusions, fast prognostication of impending faults, and optimization of control actions using uncertain image data. They are working with a local sheet forming firm to develop a proof of concept machine. Their experiences in Morse theoretic exact kirigami construction of complex geometries, and sheet folding mechanics will be employed to plan kirigami operations and delineate attainable geometries.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

(Showing: 1 - 10 of 12)
Bharadwaj Satchidanandan and P. R. Kumar "Defending Cyber-Physical Systems from Sensor Attacks" Proceedings of 9th International Conference on Communication Systems and Networks, COMSNETS 2017 , 2017 , p.150
Ergun Akleman, Vinod Srinivasan, Jianer Chen "Interactive modeling ofsmooth manifold meshes with arbitrary topology: G1 stitched bi-cubicBézier patches" Computers & Graphics , 2017 , p.0097-8493
Iquebal, Ashif Sikandar, Zimo Wang, Woo-Hyun Ko, Zhujiang Wang, P. R. Kumar, Arun Srinivasa, and Satish T. S. Bukkapatnam. "Towards Realizing Cybermanufacturing Kiosks: Quality Assurance Challenges and Opportunities" Procedia Manufacturing , 2018 , p.1296
Satchidanandan, Bharadwaj and Kumar, P.R. "Control Systems Under Attack: The Securable and Unsecurable Subspaces of a Linear Stochastic System" Lecture Notes in Control and Information Sciences - Proceedings , 2018 10.1007/978-3-319-67068-3_16 Citation Details
Tran, Hoang, Satish T. S. Bukkapatnam, and Mridul Garg. "Detecting Changes in Transient Complex Systems via Dynamic Network Inference" IISE Transactions , v.1 , 2018 , p.53
Wang, Zimo, Ashif Sikandar Iquebal, and Satish T. S. Bukkapatnam "A Vision-Based Monitoring Approach for Real-Time Control of Laser Origami Cybermanufacturing Processes." ?Procedia Manufacturing , v.26 , 2018 , p.1307
Woo-Hyun Ko and P. R. Kumar "Outlier Rejection for Networked Control Systems based on Middleware" Proceedings of 14th Annual IEEE Consumer Communications & Networking Conference (CCNC 2017) , 2017 , p.305
Woo-Hyun Ko, Arun Srinivasa and P. R. Kumar "A Multi-Component Automated Laser-Origami System for Cyber-Manufacturing" International Conference on Mechanical, Materials and Manufacturing , 2017
Xu, Jin, Hoang Tran, Natarajan Gautam, and Satish T. S. Bukkapatnam "Joint Production and Maintenance Operations in Smart Custom-Manufacturing Systems" IISE Transactions, , v.1 , 2018 , p.34
Zarrinmehr, S., Ettehad, M., Kalantar, N., Borhani, A., Sueda, S. andAkleman, E., "Interlocked archimedean spirals for conversion ofplanar rigid panels into locally flexible panels with stiffnesscontrol" Computers & Graphics , 2017
Zhujiang Wang, Arun R. Srinivasa, J. N . Reddy and K. R. Rajgopal "Simulation of inextensible elasto-plastic beamsbased on an implicit rate type model" Finite Elements in Analysis and Design , 2017
(Showing: 1 - 10 of 12)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This  project was focused on the scientific and technological challenges in the development of  a novel custom manufacturing machine system, somewhat like a photocopier, which is capable of creating functional freeform shell structures (imagine for example a lampshade or a small bookcase)  using cut-bend-fold (kirigami) operations on sheet precursors. For low volume custom manufacturing the intelligence comprising all the steps involved in the production process and its continuous monitoring should reside in the real-time service, rather than requiring an upfront costly design process for each product. This issue is similar to what the photocopying industry has dealt with, i.e., how to autonomously monitor the process, dynamically optimize tool motion and process parameters and protect the system in case of a fault (e.g., equivalent of a paper jam) to ensure that the custom part meets specifications.

The scientific and technological advances made, have the potential to  allow the general public to unleash their creativity by enabling them to focus on the design aspects, abstracting the manufacturing knowhow into the machine itself.

While the first successful such machine was the 3-D printer, the project was focused on doing for sheet precursors what was done for powders. Namely build a ``printer" that can cut and fold sheets into intricate shapes. We have addressed the primary technological challenges involving the mechanics of folding, the control of the sheet and the laser position and the use of low cost cameras for imaging the part as it is made and then using the information to control the machine. We expect this method to go beyond the laboratory into commerical production since it can be retrofit to any current laser cutter.

The Kirigami system offers considerable advantages for custom manufacturing over conventional powder based 3D printing: A) Safer: sheet precursors are cheaper and easier to handle, B) Faster (minutes vs hours) to create complex parts including large lightweight structurally robust components (e.g., orthotics and furniture) with a variety of prefinished surfaces (e.g., colors, decals, sensors), C) Simpler: a kirigami machine consists of a laser cutter, a robotic arm with single point incremental forming tool, and an indexer.

 


Last Modified: 12/01/2018
Modified by: Arun R Srinivasa

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page