Automobiles

Digital Twin in Automobile Industry | nasscom


Digital Twin technology is the convergence of physical and digital realms where every tangible asset has a virtual counterpart. It harnesses the power of data streams to create a digital doppelganger that mirrors the real-world asset it represents. Through a harmonious fusion of simulation technology and data gathered from various sources – be it sensors, historical records, or other data troves – engineers weave a virtual tapestry that duplicates the physical object or process in detail. Digital twin is a dynamic, ever-evolving entity not just a static replica.

Digital twin technology has applications in various industries including Automobile Industry. It is creating digital replicas of vehicles, manufacturers can optimize design, enhance performance, and improve safety features, paving the way for the future of smart and autonomous vehicles.

Digital Twin Adoption and Usage in the Automotive Industry

According to Digital Twin Global Survey Report by Altair, 76% of Automotive respondents said their organizations already leverage digital twin technology. The automotive sector’s response was seven points higher than the overall survey’s average (69%). 28% of these respondents said their organization began investing in digital twins within the past six months or sooner; 29% said about a year ago, 20% said about one and a half to two years ago, and 9% said three or more years ago.

Impact of Digital Twin in Automobile Industry:

To understand the intersection of Digital Twin in Automobile Industry, Let is consider the below automotive product life cycle of the industry. I have categorized the whole life cycle into 3 segments:

  1. Product Development Life Cycle
  2. Manufacturing Value Chain
  3. Vehicle Sales and Service

product life cycle data

                            

                          Digital Twin in Product Development Life Cycle:

In the target market identification, competitor benchmarking and designing, there are challenges of a lot of scattered data across the organizations. There is a lack of integration for the customer feedback to the integration of those data in modern designs. Development cycle is more centred towards designers than the end user customers. Here, Digital Twin can make a lot of impact by Communicating between designers, stakeholders, and end customers (product clinics) to be more interactive and faster. Digital twin can hold the complete data of product lifecycle. Leveraging digital twin at this stage can bridge this data gap to improve the performance of simulation tests. § Reusability of proven models and simulations can enable rapid assessment of change impacts and early discovery of issue.

Digital Twin in the Manufacturing Value Chain:

Machine down time during production hours (1 minute five of downtime costs $22000 due to unexpected stoppages). Using Digital Twin, it is possible to first hand predict the failures and stop the unwanted event occurrence on machines and thus potentially save a lot of cost incurred. Skilled Manpower which is a major challenge in the industry and going forward many of these talents are retiring in next 10 years. Digital Twin can help in training large workforce by providing real-time, on-site, step-by step visual guidance on tasks such as product assembly, component design, machine operation, etc.

Digital Twin in Vehicle Sales and Service:

There is a need for effective consumer data management in the competitive world both at the retailer and the OEM ends. The customers are now looking for elevated retail buying experiences. Digital twin can bring up insights on driver preferences and attributes to build this view to upsell/cross sell and Sales experience can be enhanced by intricately connecting augmented reality with digital twin.

 

Enterprises should readily adopt Digital Twin and should experiment early with multiple use cases of these technologies at firsthand. This will also increase their speed to market and thus enhance their competitive advantage. Digital Twin will be able to keep multiple segments under a single umbrella which will make it easier for them to outperform their peers.

 

Sources:

1. https://altair.com/blog/articles/examining-the-data-on-digital-twin-in-the-automotive-industry

2. 2022 Digital Twin Global Survey Report, Altair

3. Digital Twin in the Automotive Industry, TCS.



Source

Related Articles

Back to top button