Sample Changer Development for Sample Environment Rise of the Robots?

Slides:



Advertisements
Similar presentations
CGW 08, Kraków, October 13-15th,  Integration of instrumentation and selected applications with e-Infrastructure and maintenance on production.
Advertisements

MAGNA3 – “built on a proven foundation”
1 Barcelona, 9-10 September 2004 View of the European Commission Support for Basic Research Dr. Erika Szendrak RTD B1 – Anticipation of scientific technological.
Calibration Stand Update
1 Professionalising Programme & Project Management Developing programme & project management capacities for UNDP and national counterparts External Briefing.
An e-Learning Strategy to promote technology enabled learning i n UCC Teaching & Learning workshop 30 October, 2012.
Miniature Modular Rack Launcher Combo Senior Design Group 3 Casey Brown Cyril John Keith Kirkpatrick Bryan Rickards.
Experimental Facilities DivisionORNL - SNS June 22, 2004 SNS Update – Team Building Steve Miller June 22, 2004 DANSE Meeting at Caltech.
NeSSI AND ANALYZERS NeSSI AND ANALYZERS ISSUES AND DISCUSSION REGARDING THE SAM CONCEPT FROM THE ANALYZER SUPPLIERS PERSPECTIVE.
1 VACUUM ATMOSPHERES Co NEW PRODUCT ANNOUNCEMENT November 28, 2001.
Fundamentals of Information Systems, Second Edition
David Fritz XPP June 17, The X-ray Pump-Probe Instrument Instrument Scientist: David Fritz Second Scientist:
Helmholtz Capture Solenoid Update Peter Loveridge STFC Rutherford Appleton Laboratory, UK 2 nd Princeton-Oxford High Power Target.
“HEAR IT AND FORGET IT, SEE IT AND REMEMBER IT, DO IT AND UNDERSTAND IT” R12310: ME and ChemE Lab and Demo Hardware Development DPM – Spring 2012.
Modularly Adaptable Rover and Integrated Control System Mars Society International Conference 2003 – Eugene, Oregon.
Mantid Scientific Steering Committee Nick Draper 10/11/2010.
Programmable Microfluidics William Thies*, J.P. Urbanski †, Mats Cooper †, David Wentzlaff*, Todd Thorsen †, and Saman Amarasinghe * * Computer Science.
HL Sample Question Applied Control Systems Underlying Principles.
Dept of Materials Engineering l Use of a Virtual Laboratory to plan, execute and analyse Neutron Strain Scanning experiments. John A James 1, Javier R.
Robot Basics Motion and Nomenclature. Robot Main Components Programming Terminal Controller Manipulator Manual Pendent.
WP 20 « Advanced Neutron Tools for Soft and Bio Materials » Annie Brûlet Laboratoire Léon Brillouin UMR12
Real Time Collaboration and Sharing
1 BROOKHAVEN SCIENCE ASSOCIATES Powder Discussion Session Summary 1)What are the key scientific drivers? What experiments will NSLS-II enable that are.
AAMG 2015 Measurement, Information and Innovation October 2015 Automation in Analytical Laboratories: A teaching perspective Krishna Persaud CEAS, The.
Interfacing instrument teams with ESS and STAPs Ken Andersen ICB5, Copenhagen 7 th March 2016.
ESS Cryomodule Status Meeting – Introduction | | Christine Darve Introduction to Cryomodules for the ESS 2013 January, 9 th Christine Darve.
CASE STUDY VICTORIOUS SECRET. PORTO Introduction PORTO | Popularity of home automation has been increasing greatly in recent years. Number of controllable.
ETEC 4301 Design Lab Jacob Ison Solar Energy and The Family Farm.
The ESS Target Station F. Mezei ESS target division NPPatLPS, 2013.
V. Raginel, D. Kleiven, D. Wollmann CERN TE-MPE 2HiRadMat Technical Board - 30 March 2016.
Capabilities and Programmes of STFC’s Accelerator Science & Technology Centre (ASTeC)
Advanced Software Engineering Dr. Cheng
MSc-Student Activities at Institut Laue-Langevin
Industrial use cases PaNDaaS meeting Ennio Capria
Material handling Defined as the art and science of moving, packing and storing of substances in any form. Creation of time and place utility Movement.
Ti/SS transitions A.Basti INFN-PISA*
Presented by Jon Pastuszynski, Lead M&D Engineer
2 ATIS 5G OVERVIEW ATIS launched its 5G Ad Hoc in 2015 to advance regulatory imperatives, deliver an evolutionary path, address co-existence of technologies,
P07203 Dynamometry Laboratory Infrastructure
Facility Concept Design and Study
Copyright SwissFlow B.V.
Operations Concept Simon Radford and Operations Committee
How SCADA Systems Work?.
Software Engineering (CSI 321)

Project Members: M.Premraj ( ) G.Rakesh ( ) J.Rameshwaran ( )
Beam Dump outline work plan (UK perspective)
Maximize your availability
CAD/CAM services ensure complete tooling process coverage for mold tooling design in catia. You can use our CAD/CAM Services for mold tooling design.
+PLUS WAREHOUSE CONTROL SYSTEM (WCS)
Overview: Software and Software Engineering
Universal Parallel Gripper
Applied Control Systems Underlying Principles
Transferability in Practice?
Rapid Automation Design
Controlling Sensors Efficiently with MCUs
Sysmac NC Controller Introducing the NJ5 PLC and NC integrated controller for complex and precision advanced manufacturing.
Instrumentation and control
CHAPTER 10 METHODOLOGIES FOR CUSTOM SOFTWARE DEVELOPMENT
Solid-liquid and flow cells
FLUCO FLUids incl. gases, vapors and COmplex fluids - H. Schneider -
Near Ambient Temperature Control & Humidity Control
Action List.
NuScale Micro-Reactor Technology
MIRACLES budget: Summary of the 3 configurations
Path to BEER upgrades STAP meeting – Phase 2.
Preliminary Detailed Design Review
Conceptual design of the Cryogenic System of Comprehensive Research Facility for Key Fusion Reactor Core Systems Liangbing Hu Sep.4.
Damiana Gentili Qualified Person/QU Director 09/05/2019
OU BATTLECARD: Oracle Identity Management Training
Presentation transcript:

Sample Changer Development for Sample Environment Rise of the Robots? MOCRAF 2017 Matt North, STFC, ISIS matt.north@stfc.ac.uk

Sample Changers Provides sample automation. c. 30 mins minimum to obtains useful statistics from sample for powder diffraction measurement c. 3hrs for neutron spectroscopy measurement. In general, sample throughput, not a major cause for concern, caveat cryo experiments. Provides ‘quick check’ for sample / technique. Gives experimental flexibility at low cost (time) Reduces ‘lost time’ risk across a sample set; multiplexing. Minimise operating stresses. Reduces support requirements. Supports ‘Xpress’ facility access.

Xpress Access ‘Xpress’ Facility access is a remote access mechanism not requiring approval from Facility Access Panel. General Guidelines: Short measurements c. <1 hour. Initial sample characterisation. Demonstrate feasibility for further proposals Small ‘top-up’ data to complete analysis. In the year 16/17, 25% of facility proposals were Xpress Access Foundation of xpress on diffraction, predominantly with some SANS up to 2011. 2008 TS2 first neutrons 2009 ts2 phase 1 instruments (7) in scientific commisisoning / user programme 2011 onwards xpress service being made available to user community and broadened to include spectroscopy. Need for spectroscopy sample changers lags – demand led? SANS increase beyond 2008 due to sans2d and reflectometer instruments. General increase in variety, not all supported by sample changers. More time scheduled for xpress measurements – facilitiating blue sky in-house research

Xpress Access Growth Foundation of xpress on diffraction, predominantly with some SANS up to 2011. 2008 TS2 first neutrons 2009 ts2 phase 1 instruments (7) in scientific commisisoning / user programme 2011 onwards xpress service being made available to user community and broadened to include spectroscopy. Need for spectroscopy sample changers lags – demand led? SANS increase beyond 2008 due to sans2d and reflectometer instruments. General increase in variety, not all supported by sample changers. More time scheduled for xpress measurements – facilitiating blue sky in-house research

Diffraction Sample Changers

Spectroscopy Sample Changers

SANS & Reflectometry Sample Changers None of these SC’s change sample without a supporting sample positioner.

SANS & Reflectometry Sample Changers None of these SC’s change sample without a supporting sample positioner.

ISIS Sample Changer Overview Type Instrument Sample Position Supporting Motion Sample Container Temp Range Capacity Approx Max Throughput Number of Axis Operating Pressures Supporting Sample Environment Carousel GEM, HRPD, POLARIS Tank None Cylindrical Cans; 6,8 & 11mm 300°K 20 samples 10 Hours 1x Linear 1x Rotation 1e-2mBar to Atmos Array NIMROD, SANDALS Flat Can to 365°K 15 samples 15 Hours Water Bath Chainsaw TOSCA Flat Can 10 - 20°K 36 samples 4.5 Days 1e-6mBar to Atmos TOSCA Cryostat Stacked Stick MERLIN, IRIS Annular Can 7°K to 300°K 3 samples Top loading CCR Rotating MKI SANS2D, LOQ Open SPS Standard & Banjo Cuvettes 7 samples 3.5 Hours 1 rotation Atmos Rotating MkII SANS2D, LARMOR Banjo Cuvette 300°K to 430°K 4 samples 2 Hours 4 Rotation Single Tier LOQ Standard, Banjo & Tank Cuvettes 300°K to 550°K ~10 Hours Double Tier 40 samples 7 Hours 7 Sample Liquid Trough SANS2D Trough 300°K to 380°K 2.5 Hours

ISIS Sample Changer Overview Type Instrument Sample Position Supporting Motion Sample Container Temp Range Capacity Approx Max Throughput Number of Axis Operating Pressures Supporting Sample Environment Carousel GEM, HRPD, POLARIS Tank None Cylindrical Cans; 6,8 & 11mm 300°K 20 samples 10 Hours 1x Linear 1x Rotation 1e-2mBar to Atmos Array NIMROD, SANDALS Flat Can to 365°K 15 samples 15 Hours Water Bath Chainsaw TOSCA Flat Can 10 - 20°K 36 samples 4.5 Days 1e-6mBar to Atmos TOSCA Cryostat Stacked Stick MERLIN, IRIS Annular Can 7°K to 300°K 3 samples Top loading CCR Rotating MKI SANS2D, LOQ Open SPS Standard & Banjo Cuvettes 7 samples 3.5 Hours 1 rotation Atmos Rotating MkII SANS2D, LARMOR Banjo Cuvette 300°K to 430°K 4 samples 2 Hours 4 Rotation Single Tier LOQ Standard, Banjo & Tank Cuvettes 300°K to 550°K ~10 Hours Double Tier 40 samples 7 Hours 7 Sample Liquid Trough SANS2D Trough 300°K to 380°K 2.5 Hours 

CCR Adaption Isolating VAT Valve Sensor Ports He Port Sample Carrier & Thermometry Contacts Introduce gas sample change process He Capillary & Inlet

Robot Requirements Development Requirements: ‘Perform sample pick & place action’ ‘Low cost’ ‘Minimal learning curve’ ‘Integrate with beamline control computer’ ‘Portable package– Deliver to a beamline’

Universal Robots – UR5 Motion Specification: ≥6 Axis of Motion  Spherical Motion Envelope; 0.5m≤ r ≤1.5m 0.85m Motion Repeatability ≤±0.1mm  Max Payload = 5kg Control Specification: Local & remote control Ethernet & Pendant Integrate with existing instrumentation A&D I/O Motion Path Planning via 3D environment Pendant HMI Teach Mode  Collaborative operation (ISO 10218-1)  Technical Specification: ‘Maintenance Free’ Operation 35,000hrs 240V Power Source Weigh ≤20kg 18.4kg Collaborative robot – teach mode, motion path simulation, simple programming interface, certified, with approiate risk assessment for collaborative operation. Underlining principle – this should be delivered to sample position like any other SE.

Cryogenic Robot Sample Changer Robot test stand. Next step to integrate robot with CCR to perform pick and place.

Cryogenic Robot Sample Changer Robot test stand. Next step to integrate robot with CCR to perform pick and place. ‘Current status of the ISIS robotic cryogenic sample changer’ Journal of Neutron Research 19 (2017) DOI 10.3233/JNR-170049

Future Robotic Opportunities Science Leads Sample Positioning – Engineering Diffraction Texture Measurements – Powder Diffraction Automation for Industrial QA – Reflectometry ‘The development of more automated sample environment and procedures to broaden the user base’ - Spectroscopy Engineering Leads Cryogenic Sample Changer - Diffraction & Spectroscopy ‘Universal’ Sample Changer - Diffraction & Spectroscopy ‘Universal’ Sample changer for diffraction – advantages: Increases capacity, not limited by tank volume Provides a mechanism for elevated temperatures Disadvantages: System complexity SPS+SC Combined – advantages: Automation of varying sample environments. Reduction in sample changer variety. Flexibility in motion, sample environments & sample shapes & sizes. Space overhead. Costly.

Future Development Landscape No step change in flux in the near term, sample throughput not a fundamental bottleneck. Funding from ISIS science group budgets for Robot Sample Changer development is not a high priority. Popularity of Xpress Access; growth or plateau? No smoking gun

Important steps to shift perspective Development of in-house knowledge and skills Proving Capability Demonstrating Benefit Capitalising

Rise of the Robots?