Technology trends in the digitalization era · 2018-06-19 · Gartner Hype Cycle for Emerging...

Technology trends in the digitalization eraANSYS Innovation Conference | Bologna, Italy – June 13, 2018

Michele Frascaroli | Technical Director, CRIT Srl

Summary

• About CRIT

• Top Trends for EmergingTechnologies

• The Fourth Industrial Revolution

• The Smart Manufacturing Technologies

• Conclusions

ANSYS Innovation Conference 2018 | © CRIT Srl 2018

About CRIT


Profile

“We support enterprises in their innovation processes”

• CRIT is a private company specialized in the research and analysis of technical and scientific information and in the development of research project activities

• CRIT fosters the dialogue among enterprises on issues related to problems and relevant technical, organizational and logistic solutions, through the sharing of best practices and the organization of dedicated benchmarking activities

• CRIT was born in 2000, when some of the most important enterprises of Emilia-Romagna region decided to subscribe a common action aiming to improve their innovation processes


Shareholder Companies


Network of Endorsed Suppliers


Fostering Innovation• CRIT offers services for innovation to enterprises and associations, even for those external to its network.

• Services created by CRIT enable enterprises to realize a more effective innovation process, saving time and resources

TECHNOLOGY SCOUTING

helps the selection of both technologies and technology partners

most suitable to develop innovation

COLLABORATIVE INNOVATION

supports the transfer of knowledge between the enterprise and external

subjects

INNOVATION DEVELOPMENT

facilitates the process which brings the idea to

a final product

CRIT SERVICESTECHNOLOGY SCOUTING helps the selection of both

technologies and technology partners most suitable to

develop innovation

COLLABORATIVE INNOVATIONsupports the transfer of knowledge between the

enterprise and external subjects

INNOVATION DEVELOPMENT facilitates the process which

brings the idea to a final product

RESEARCH DEVELOPMENT MARKET


Top Trends for Emerging Technologies


Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017


Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017

• “AI technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data and unprecedented advances in deep neural networks”

• Human-centric technology• Technology is evolving from

compartmentalized technical infrastructure to ecosystem enabling platforms. Businesses must think about how to create platform-based business models and what technology is needed to support that move


Accenture Technology Vision 2018Intelligent Enterprise Unleashed Five technology trends shaping the future of business


Source: Accenture

Tech Breakthroughs megatrend


Source: PwC - https://www.pwc.com/techmegatrend

The Essential Eight technologies thatmatter now

The Fourth Industrial Revolution


The Fourth Industrial Revolution


Cyber-Physical System (CPS)

• IT system able to interact continuously with the physical system in which it operates

• System composed of physical elements each having computational capabilities

5C

1. Connection (connectivity)

2. Conversion (data to information)

3. Cyber (digital twin)

4. Cognition (decision)

5. Configuration (feedback)

http://www.imscenter.net/cyber-physical-platform


http://www.imscenter.net/cyber-physical-platform

New challenges from the market

• Increasing complexity

• Small baches

• Reduced Product Life Cycle

• Increasing personalization

• Reduced delivery times


Vo

lum

e o

f p

rod

uct

ion

Variety of products

The Smart Manufacturing Technologies



Smart Manufacturing Technologies

Industrial IoT & Cloud

Big Data

Digital Manufacturing

Advanced HMI

Advanced Automation

Additive Manufacturing

• Industrial IoT & Cloud

• Big Data

• Digital Manufacturing

• Advanced HMI

• Advanced Automation

• Additive Manufacturing




Big Data


Advanced HMI

Advanced Automation


Expected Benefits and Value Proposition

Quality

Flexibility

Personalization

Productivity

Automation

Energy Saving

Reliability

User Experience




Industrial IoT & CloudSmart and connected obiects



Big Data


Advanced HMI

Advanced Automation



Big Data

Methodologies and toolsfor big data analysis



Big Data


Advanced HMI

Advanced Automation



Big Data | Artificial Intelligence (AI)

• AI is the study and design of intelligent agents

• An agent is a computer program (software or hardware)

• An intelligent agent is an agent capable of perceiving, thinking and acting

• An intelligent agent is rational if it does the “right thing”, given what it knows

• Agents can improve their behavior through learning


Big DataArtificial Intelligence

• Machine Learning: barriers to entry have been greatly lowered

• Deep Learning: it is revolutionizing the industry pushing far beyond the frontiers of what it is possible to do with Machine Learning


Big DataDeep Learning

• Object detection and localization(Convolutional Neural Network)

• OCR e Handwriting recognition

• Pedestrian Detection, Traffic Sign Detection

• Speech Recognition, Face Recognition

• Natural Language Processing, Language Translation

• Medical Image analysis

• Recommendation systems

• Games (Atari, AlphaGo)


Big DataAutonomous Vehicles


Since 2009, our fleet has self-driven more than 6 million miles, mostly on city streets. That would take the average American driver over 300 years to complete. This builds on 2.7 billion miles we drove in simulation in 2017 alone.

Waymo

Big DataNew opportunities for advancedmanufacturing

• Generation of knowledge as basis for decision support

• Observation of value streams for simple monitoring or for the detection of anomalies

• Prediction of happenings

• New kinds of diagnosis possibilities

• KPI optimization

• …




Tools for creating virtual models and advanced

simulationSmart Manufacturing Technologies


Big Data


Advanced HMI

Advanced Automation



Digital ManufacturingVirtual Modelling and Simulations for Smart Manufacturing and Digital Twin


• Increasing level of Complexity• From Product to Cyber Physical Systems (CPS)

• Manufacturing: new processes, human-robot collaboration and materials to be simulated

• Pervasive Computing & New Hardware• Advanced, graphic-friendly visualization

(Augmented/Virtual Reality)

• Increasing computational power and info exchange (cloud services)

• From simple CAD to integrated Virtual Product Development & CAE

• End-to-end Product Lifecycle Management (PLM) and CAE platforms

• Multi-physics, i.e: fluid-structure

• High Performance Computing (HPC)

• IoT, AI Data analytics and MBSE for Digital twin

Individual applications

• Simulation limited to specific topics (mechanics)

Simulation tools

• Static tool addressing specific design and engineering issues (fluid dynamics), CNC, robotics

Simulation-based system design

• Systemic approach to multi-level, multi-physics systems.

Digital Twin concept

• Simulation along whole product life-cycle (linked to operation support, link with data)

>1960>1985

>2015

>2000

R&D and Engineering

Manufacturing operations, Services

Service-driven business models



Source: NASA

Source: LoginWorks

Source: GE

Digital ManufacturingVirtual Modelling and Simulations for Smart

Manufacturing and Digital Twin

Digital Twin

IoT

Cloud

Big Data & Analytics

Prognostic& Health

Monitoring

Augmented& Virtual Reality

ANSYS Innovation Conference 2018 | © CRIT Srl 2018Source: Deloitte University

Design

Manufacturing

Operations



• Design: CAD, CAE, FEA, CFD, HPC, Virtual Reality (VPD), multi-body dynamics

• Manufacturing: Virtual Commissioning, Additive Manufacturing, Ergonomics, Human-robot Collaboration

• Operations: Available field data Opportunity• Condition Monitoring• Re-design (Improve the physical asset

design)• Predictive Maintenance

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Advanced HMI

New model for human/machine

interaction



Big Data


Advanced HMI

Advanced Automation



Advanced HMI


• Virtual Reality (VR)• Augmented Reality (AR)• Mixed Reality (MR)

Advanced HMI

ANSYS Innovation Conference 2018 | © CRIT Srl 2018Source: Wayray

ANSYS Innovation Conference 2018 | © CRIT Srl 2018Source: Byton

Advanced HMIVoice and Face

Recognition

Gesture Recognition

Wide Touch Panels

PassengersEnterteinment

Advanced HMI


Source: Tetra Pak Source: SCM Group

Advanced HMIBrain-Machine interaction


Source: MIT

Source: Neurable


Advanced Automation

Robotics, control and inspection systems,

cognitive, adaptive and re-configurable systems



Big Data


Advanced HMI

Advanced Automation



Advanced AutomationCOBOTS


ANSYS Innovation Conference 2018 | © CRIT Srl 2018Source: Ekso & FORD

Source: IIT

Advanced AutomationAdvanced Robotics

• Exoskeleton• Hand and Wrist Prosthes• Rehabilitation Platforms• Etc.

ANSYS Innovation Conference 2018 | © CRIT Srl 2018Source: Ekso

Advanced Automation | Humanoid Robotics

Source: Boston Dynamics


Advanced Automation | Humanoid Robotics

Source: IIT

Advanced Automation | Sony AIBO

ANSYS Innovation Conference 2018 | © CRIT Srl 2018Source: Sony, CNN Tech



Growing three-dimensional objects one

layer at a time from digital design



Big Data


Advanced HMI

Advanced Automation



Source: International Committee F42 for

Additive Manufacturing Technologies, ASTM


ASTM definition of Additive Manufacturing (AM) process:

“a process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing methodologies”.


Advantages

Technological Benefits

• Greater freedom in design: Design for functionality VS Design for manufacturability

• Complex geometries: not achievable with traditional techniques

• Lighter items: less use of raw materials (Design for light weighting)

• New materials: ad hoc production of specific quality controlled materials

... provided that the design or re-engineering processes are consistent with the potential of additive technologies (THINK ADDITIVE)

Source: Avio Aero


Applications

• Rapid Prototyping (RP): prototypes (es. automotive)• Reduces Time to market

• Eliminates the possibility of design errors

• Provides useful marketing advantages

• Rapid Tooling (RT): tools for prototypes and componentsmanufacturing

• Direct Digital Manufacturing (DDM): manufacturing of products (i.e. biomedical, aerospace, orthodontics, motorsport)• Small numbers

• Maximum optimization of geometry and weight

• Maximum customization possibilities (custom-made products)

Source: EOS


Additive Manufacturing | Renault Trucks Engine

ANSYS Innovation Conference 2018 | © CRIT Srl 2018Source: Renault

Conclusions


Conclusions

• Industry 4.0 introduced the Cyber Physical System (CPS) concept which enabled the digitalization of the manufacturing

• The digitalization process is based on the Smart Manufacturing Technologies (SMTs):

• Industrial ioT

• Big Data

• Digital Manufacturing

• Advanced HMI

• Advanced Automation

• Additive Manufacturing

• SMTs represent a unique opportunity to innovate products, processes and business models and to face the new challenges of the market


Conclusions

• SMTs are continuously and rapidly evolving

• Simulation plays a central role.

• The integration of all the simulation processes across the entire life cycle of the product allows to

• virtualize all the development and testing phases

• introduce the Digital Twin concept

• Companies «must»

• Identify the opportunities arising from SMTs

• Define an action plan

• Act quickly!


Thanks for your attention

Michele FrascaroliTechnical Director | CRIT Srl

[email protected]

crit-research.it

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Technology trends in the digitalization era · 2018-06-19 · Gartner Hype Cycle for Emerging...

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