SlideShare a Scribd company logo
BITS Pilani
Hyderabad Campus
NI MULTISIM -
An Introduction to Electronics Workbench
Staff In-charge
Dr. R N Ponnalagu
Dr. Karum Chappanda
4-Jul-23
Teaching Assistants:
Madhusudan B Kulkarni, Samit Kumar Ghosh and Sharda Sharma
ELECTRONICS & INSTRUMENTATION LAB
II B.TECH II SEMESTER 2019-20
BITS Pilani
Hyderabad Campus
Outline
i. Introduction
ii. Parameters
iii. Tool Box
iv. Virtual Vs Real Components
v. Application Areas
Introduction
NIMultisim
BITS Pilani, Hyderabad Campus
3
 NI Multisim & Ultiboard is world’s most popular software for
learning electronics and having 1,80,000 industrial and
academic users. It includes as follows:
 Multisim simulation and capture
 Ultiboard PCB layout
 Multisim MCU Module controller simulation
Multisim software integrates powerful SPICE simulation and
schematic capture entry into highly intuitive electronics lab on
the PC. NI provides software that has become a teaching and
learning tool of choice for thousands of educators.
Introduction(1/2)
BITS Pilani, Hyderabad Campus
4
 Multisim (Simulation & Capture):
Multisim is an intuitive, drag-and-drop schematic capture and
simulation program that educators and students can use to create
complete circuits containing both analog and digital components.
It also adds microcontroller unit co-simulation capabilities, so
you can include an MCU, programming in assembly code, within
your SPICE-model circuit.
 Ultiboard ( PCB Layout) :
With Ultiboard, students can gain exposure to the physical
implementation and manufacturing of circuits on PCBs.
Students can import the Multisim schematic into Ultiboard with
a single mouse click.
Introduction(2/2)
BITS Pilani, Hyderabad Campus
5
NI Multisim Integrated with NI LabVIEW
BITS Pilani
Hyderabad Campus
Outline
i. Introduction
ii. Parameters
iii. Tool Box
iv. Virtual Vs Real Components
v. Application Areas
Parameters
BITS Pilani, Hyderabad Campus
7
1. Multisim- Schematics: Easy-to-use schematics, simple click and drag,
3D animated parts and wire drag without breaking connections.
2. Multisim- Virtual Breadboard: Breadboard techniques, synchronized
with schematic and Wiring report for NI ELVIS (step 5)
3. Multisim- Simulation: 13,000+part library, 22+ NI ELVIS
Virtual instruments, Microcontroller simulation.
4. Ultiboard- PCB Layout: Integrated with Multisim, Flexible interface,
3D view, Design rule check and Built-in auto routing.
5. NI ELVIS- Test: Instrumentation, Data acquisition and
prototyping
6. LabVIEW- Compare: Automatically import like Multisim virtual data
and NI ELVIS measured data. Compare ideal and real data.
Parameters
BITS Pilani
Hyderabad Campus
Outline
i. Introduction
ii. Parameters
iii. Tool Box
iv. Virtual Vs Real Components
v. Application Areas
ToolBox
BITS Pilani, Hyderabad Campus
9
Tool Box(1/8)
BITS Pilani, Hyderabad Campus
10
Tool Box(2/8)
BITS Pilani, Hyderabad Campus
11
Tool Box(3/8)
BITS Pilani, Hyderabad Campus
12
Tool Box(4/8)
BITS Pilani, Hyderabad Campus
13
.
Tool Box(5/8)
BITS Pilani, Hyderabad Campus
14
Tool Box(6/8)
BITS Pilani, Hyderabad Campus
15
Tool Box(7/8)
BITS Pilani, Hyderabad Campus
16
Tool Box(8/8)
BITS Pilani
Hyderabad Campus
Outline
i. Introduction
ii. Parameters
iii. Tool Box
iv. Virtual Vs Real Components
v. Application Areas
VirtualComponentsVs.RealComponents
BITS Pilani, Hyderabad Campus
18
Virtual vs.Real Components
Real components have a specific value that cannot be changed
and a footprint used for circuit board layout.
Virtual components are for simulation only.
For our purposes, there isalmost no difference between the
component types.
BITS Pilani
Hyderabad Campus
Outline
i. Introduction
ii. Parameters
iii. Tool Box
iv. Virtual Vs Real Components
v. Application Areas
MultisimApplicationAreas
BITS Pilani, Hyderabad Campus
20
 Acquiring Data and Process Signals: Measure any
sensor, perform advanced analysis, display data and
custom user interfaces.
 Automating Test and Validation Systems: Automate the
validation and control multiple instruments.
 Academic Teaching: Apply an interactive, hands-on
approach to learning, combine algorithm design with real
time datameasurements.
 Instrument Control: Automated data collection,
analyze anddisplay signals.
 Embedded Monitoring and Control Systems: Reuse ASCII
C and HDL code, prototype with FPGA technology.
MultisimApplication Areas

More Related Content

Similar to Ni Multisim.pptx

Synthetic data in finance
Synthetic data in financeSynthetic data in finance
Synthetic data in finance
QuantUniversity
 
PI TOP: HARDWARE-ENABLED SUPERCOMPUTER
PI TOP: HARDWARE-ENABLED SUPERCOMPUTERPI TOP: HARDWARE-ENABLED SUPERCOMPUTER
PI TOP: HARDWARE-ENABLED SUPERCOMPUTER
IRJET Journal
 
Surya Resume Long
Surya Resume LongSurya Resume Long
Surya Resume Long
surya prakash
 
Meetup 21/9/2017 - Image Recogonition: onmisbaar voor een slimme stad?
Meetup 21/9/2017 - Image Recogonition: onmisbaar voor een slimme stad?Meetup 21/9/2017 - Image Recogonition: onmisbaar voor een slimme stad?
Meetup 21/9/2017 - Image Recogonition: onmisbaar voor een slimme stad?
Digipolis Antwerpen
 
How to build containerized architectures for deep learning - Data Festival 20...
How to build containerized architectures for deep learning - Data Festival 20...How to build containerized architectures for deep learning - Data Festival 20...
How to build containerized architectures for deep learning - Data Festival 20...
Antje Barth
 
Acquisition System
Acquisition SystemAcquisition System
Acquisition System
IJSRED
 
Synthetic data generation for machine learning
Synthetic data generation for machine learningSynthetic data generation for machine learning
Synthetic data generation for machine learning
QuantUniversity
 
IRJET- Student Teacher Integrated Network Ground – “S.T.I.N.G”
IRJET- Student Teacher Integrated Network Ground – “S.T.I.N.G”IRJET- Student Teacher Integrated Network Ground – “S.T.I.N.G”
IRJET- Student Teacher Integrated Network Ground – “S.T.I.N.G”
IRJET Journal
 
GCE O/L ICT
GCE O/L ICTGCE O/L ICT
GCE O/L ICT
Mahesh Kodituwakku
 
QuSandbox+NVIDIA Rapids
QuSandbox+NVIDIA RapidsQuSandbox+NVIDIA Rapids
QuSandbox+NVIDIA Rapids
QuantUniversity
 
OPAL-RT RT14: Running OPAL-RT's eHS solver on NI cRIO
OPAL-RT RT14: Running OPAL-RT's eHS solver on NI cRIOOPAL-RT RT14: Running OPAL-RT's eHS solver on NI cRIO
OPAL-RT RT14: Running OPAL-RT's eHS solver on NI cRIO
OPAL-RT TECHNOLOGIES
 
AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEM
AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEMAN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEM
AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEM
IRJET Journal
 
Study of Application of RFID in developing a Automated System for Quality Man...
Study of Application of RFID in developing a Automated System for Quality Man...Study of Application of RFID in developing a Automated System for Quality Man...
Study of Application of RFID in developing a Automated System for Quality Man...
Shabaz Khan
 
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
Big Data Value Association
 
A1_MAJOR_FINALL REV.pptx
A1_MAJOR_FINALL REV.pptxA1_MAJOR_FINALL REV.pptx
A1_MAJOR_FINALL REV.pptx
marujoduMAHESH1
 
IRJET- Review on Intelligent System for College
IRJET- Review on Intelligent System for CollegeIRJET- Review on Intelligent System for College
IRJET- Review on Intelligent System for College
IRJET Journal
 
IRJET- Review on Intelligent System for College
IRJET- Review on Intelligent System for CollegeIRJET- Review on Intelligent System for College
IRJET- Review on Intelligent System for College
IRJET Journal
 
UberCloud HPC Experiment Introduction for Beginners
UberCloud HPC Experiment Introduction for BeginnersUberCloud HPC Experiment Introduction for Beginners
UberCloud HPC Experiment Introduction for Beginners
hpcexperiment
 
Digital Intelligence, a walkway to Chirology
Digital Intelligence, a walkway to ChirologyDigital Intelligence, a walkway to Chirology
Digital Intelligence, a walkway to Chirology
jgd2121
 

Similar to Ni Multisim.pptx (20)

Synthetic data in finance
Synthetic data in financeSynthetic data in finance
Synthetic data in finance
 
PI TOP: HARDWARE-ENABLED SUPERCOMPUTER
PI TOP: HARDWARE-ENABLED SUPERCOMPUTERPI TOP: HARDWARE-ENABLED SUPERCOMPUTER
PI TOP: HARDWARE-ENABLED SUPERCOMPUTER
 
Surya Resume Long
Surya Resume LongSurya Resume Long
Surya Resume Long
 
Meetup 21/9/2017 - Image Recogonition: onmisbaar voor een slimme stad?
Meetup 21/9/2017 - Image Recogonition: onmisbaar voor een slimme stad?Meetup 21/9/2017 - Image Recogonition: onmisbaar voor een slimme stad?
Meetup 21/9/2017 - Image Recogonition: onmisbaar voor een slimme stad?
 
How to build containerized architectures for deep learning - Data Festival 20...
How to build containerized architectures for deep learning - Data Festival 20...How to build containerized architectures for deep learning - Data Festival 20...
How to build containerized architectures for deep learning - Data Festival 20...
 
Acquisition System
Acquisition SystemAcquisition System
Acquisition System
 
Synthetic data generation for machine learning
Synthetic data generation for machine learningSynthetic data generation for machine learning
Synthetic data generation for machine learning
 
IRJET- Student Teacher Integrated Network Ground – “S.T.I.N.G”
IRJET- Student Teacher Integrated Network Ground – “S.T.I.N.G”IRJET- Student Teacher Integrated Network Ground – “S.T.I.N.G”
IRJET- Student Teacher Integrated Network Ground – “S.T.I.N.G”
 
GCE O/L ICT
GCE O/L ICTGCE O/L ICT
GCE O/L ICT
 
QuSandbox+NVIDIA Rapids
QuSandbox+NVIDIA RapidsQuSandbox+NVIDIA Rapids
QuSandbox+NVIDIA Rapids
 
OPAL-RT RT14: Running OPAL-RT's eHS solver on NI cRIO
OPAL-RT RT14: Running OPAL-RT's eHS solver on NI cRIOOPAL-RT RT14: Running OPAL-RT's eHS solver on NI cRIO
OPAL-RT RT14: Running OPAL-RT's eHS solver on NI cRIO
 
AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEM
AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEMAN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEM
AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEM
 
Study of Application of RFID in developing a Automated System for Quality Man...
Study of Application of RFID in developing a Automated System for Quality Man...Study of Application of RFID in developing a Automated System for Quality Man...
Study of Application of RFID in developing a Automated System for Quality Man...
 
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
 
A1_MAJOR_FINALL REV.pptx
A1_MAJOR_FINALL REV.pptxA1_MAJOR_FINALL REV.pptx
A1_MAJOR_FINALL REV.pptx
 
IRJET- Review on Intelligent System for College
IRJET- Review on Intelligent System for CollegeIRJET- Review on Intelligent System for College
IRJET- Review on Intelligent System for College
 
IRJET- Review on Intelligent System for College
IRJET- Review on Intelligent System for CollegeIRJET- Review on Intelligent System for College
IRJET- Review on Intelligent System for College
 
Srivalli Siddavatam
Srivalli Siddavatam Srivalli Siddavatam
Srivalli Siddavatam
 
UberCloud HPC Experiment Introduction for Beginners
UberCloud HPC Experiment Introduction for BeginnersUberCloud HPC Experiment Introduction for Beginners
UberCloud HPC Experiment Introduction for Beginners
 
Digital Intelligence, a walkway to Chirology
Digital Intelligence, a walkway to ChirologyDigital Intelligence, a walkway to Chirology
Digital Intelligence, a walkway to Chirology
 

Recently uploaded

The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
JoytuBarua2
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
ViniHema
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
Pratik Pawar
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
Pipe Restoration Solutions
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
bakpo1
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234
AafreenAbuthahir2
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 
DESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docxDESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docx
FluxPrime1
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
gdsczhcet
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
PrashantGoswami42
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
Robbie Edward Sayers
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
gerogepatton
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
ethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.pptethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.ppt
Jayaprasanna4
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
Amil Baba Dawood bangali
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
SamSarthak3
 

Recently uploaded (20)

The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 
DESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docxDESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docx
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
ethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.pptethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.ppt
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
 

Ni Multisim.pptx

  • 1. BITS Pilani Hyderabad Campus NI MULTISIM - An Introduction to Electronics Workbench Staff In-charge Dr. R N Ponnalagu Dr. Karum Chappanda 4-Jul-23 Teaching Assistants: Madhusudan B Kulkarni, Samit Kumar Ghosh and Sharda Sharma ELECTRONICS & INSTRUMENTATION LAB II B.TECH II SEMESTER 2019-20
  • 2. BITS Pilani Hyderabad Campus Outline i. Introduction ii. Parameters iii. Tool Box iv. Virtual Vs Real Components v. Application Areas Introduction NIMultisim
  • 3. BITS Pilani, Hyderabad Campus 3  NI Multisim & Ultiboard is world’s most popular software for learning electronics and having 1,80,000 industrial and academic users. It includes as follows:  Multisim simulation and capture  Ultiboard PCB layout  Multisim MCU Module controller simulation Multisim software integrates powerful SPICE simulation and schematic capture entry into highly intuitive electronics lab on the PC. NI provides software that has become a teaching and learning tool of choice for thousands of educators. Introduction(1/2)
  • 4. BITS Pilani, Hyderabad Campus 4  Multisim (Simulation & Capture): Multisim is an intuitive, drag-and-drop schematic capture and simulation program that educators and students can use to create complete circuits containing both analog and digital components. It also adds microcontroller unit co-simulation capabilities, so you can include an MCU, programming in assembly code, within your SPICE-model circuit.  Ultiboard ( PCB Layout) : With Ultiboard, students can gain exposure to the physical implementation and manufacturing of circuits on PCBs. Students can import the Multisim schematic into Ultiboard with a single mouse click. Introduction(2/2)
  • 5. BITS Pilani, Hyderabad Campus 5 NI Multisim Integrated with NI LabVIEW
  • 6. BITS Pilani Hyderabad Campus Outline i. Introduction ii. Parameters iii. Tool Box iv. Virtual Vs Real Components v. Application Areas Parameters
  • 7. BITS Pilani, Hyderabad Campus 7 1. Multisim- Schematics: Easy-to-use schematics, simple click and drag, 3D animated parts and wire drag without breaking connections. 2. Multisim- Virtual Breadboard: Breadboard techniques, synchronized with schematic and Wiring report for NI ELVIS (step 5) 3. Multisim- Simulation: 13,000+part library, 22+ NI ELVIS Virtual instruments, Microcontroller simulation. 4. Ultiboard- PCB Layout: Integrated with Multisim, Flexible interface, 3D view, Design rule check and Built-in auto routing. 5. NI ELVIS- Test: Instrumentation, Data acquisition and prototyping 6. LabVIEW- Compare: Automatically import like Multisim virtual data and NI ELVIS measured data. Compare ideal and real data. Parameters
  • 8. BITS Pilani Hyderabad Campus Outline i. Introduction ii. Parameters iii. Tool Box iv. Virtual Vs Real Components v. Application Areas ToolBox
  • 9. BITS Pilani, Hyderabad Campus 9 Tool Box(1/8)
  • 10. BITS Pilani, Hyderabad Campus 10 Tool Box(2/8)
  • 11. BITS Pilani, Hyderabad Campus 11 Tool Box(3/8)
  • 12. BITS Pilani, Hyderabad Campus 12 Tool Box(4/8)
  • 13. BITS Pilani, Hyderabad Campus 13 . Tool Box(5/8)
  • 14. BITS Pilani, Hyderabad Campus 14 Tool Box(6/8)
  • 15. BITS Pilani, Hyderabad Campus 15 Tool Box(7/8)
  • 16. BITS Pilani, Hyderabad Campus 16 Tool Box(8/8)
  • 17. BITS Pilani Hyderabad Campus Outline i. Introduction ii. Parameters iii. Tool Box iv. Virtual Vs Real Components v. Application Areas VirtualComponentsVs.RealComponents
  • 18. BITS Pilani, Hyderabad Campus 18 Virtual vs.Real Components Real components have a specific value that cannot be changed and a footprint used for circuit board layout. Virtual components are for simulation only. For our purposes, there isalmost no difference between the component types.
  • 19. BITS Pilani Hyderabad Campus Outline i. Introduction ii. Parameters iii. Tool Box iv. Virtual Vs Real Components v. Application Areas MultisimApplicationAreas
  • 20. BITS Pilani, Hyderabad Campus 20  Acquiring Data and Process Signals: Measure any sensor, perform advanced analysis, display data and custom user interfaces.  Automating Test and Validation Systems: Automate the validation and control multiple instruments.  Academic Teaching: Apply an interactive, hands-on approach to learning, combine algorithm design with real time datameasurements.  Instrument Control: Automated data collection, analyze anddisplay signals.  Embedded Monitoring and Control Systems: Reuse ASCII C and HDL code, prototype with FPGA technology. MultisimApplication Areas