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Limitations of 3D Printing

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By Yap Shiwen

Continued from Introduction to 3D printing.

3d-printing

For all the benefits and effects that come about from 3D printing, there is immense hype surrounding the technology and the industry, driven in part by the inflow of investment capital that surrounds any new phenomena. And this hype can distort awareness of the technology, its potential and its capabilities.

There are very real limits to what a 3D printer can currently do, in terms of both materials, designs and capabilities. For example, tissue engineering and food production are very real possibilities with 3D printing, but they won’t be entering the market anytime within the next year. 3d printing is still evolving and has a host of issues that will need to be resolved, IP protection and regulations among them.

Affordable and hobbyist-friendly manufacturing tools that convert polygons into physical objects, via the STL (STereoLithography) format, have been available and were present on the market before the rise of the 3D printing wave.

Desktop CNC mills – a machine tool that uses programs to automatically execute a series of machining operations – are a case in point, with applications at home or in the office and costing approximately the same as a 3D printer, with particular applications for jewelers, dentists, mechanics and steelworking hobbyists. Beyond a small community of hobbyists and specialist firms and contractors catering to niche businesses, these have not enabled or promoted on-demand manufacturing from home workshops.

Anyone can download a 3D renderer free from the Internet, with many open-source options available, such as OpenCAD, one among many. However, creating and rendering 3D design requires hundreds, if not thousands of man-hours in order to develop competency in. It requires persistence and discipline to develop the necessary skill. The following points limiting 3D printing were raised in an issue of Makezine:

  • CAD is DIFFICULT. It takes hundreds to thousands of hours of training in order to learn and develop competency, let alone mastery, in CAD applications. You will require skill in using the 2D input device on a 2D screen to sketch out highly complex 3D shapes and intricate designs

  • Industrial Design Matters. Most people, if given a hypothetical 3D printer that makes flawless parts out of any metal of choice, cannot produce a working nail clipper or scissors. Industrial designers spend years studying the design, potential applications and practical trade-offs of items ranging from spur gears to hundreds of diverse types of linkages, hinges, joints or cams. As an example, there are 4 sophisticated design decisions involved in designing and making a box of Tic-Tacs by a design team.

  • Mechanical Engineering is Real Science. Plastics and metals are imperfect materials; there are trade-offs in balancing attributes of durability, practicality and aesthetics simultaneously – one has to give way to the other 2. Flat sheets of these materials are fragile, ductile and easily distorted. Trivial objects like phone cases and Lego bricks make use of carefully placed ribs, gussets, and bosses to prevent the parts from deforming, distorting or disintegrating. Basic engineering principles take time to master and properly apply in these products.

  • Manufacturing Processes = Imperfect. Part design needs to account for manufacturing tolerances, material shrinkage, millimetre margins, minimum feature sizes, the need to support the part through the process via scaffolding and so on. This creates complications. Very few advanced designs can be rapidly sketched and disseminated without accounting for these physical factors, adjusting them for the general manufacturing method, and finally, for the specific model of the machine used to make the part.

Significant technical expertise goes into developing and making 3D printers, as well as the designs available to people online. There are still imperfections in the processes and they will be overcome, but there are limitations to what 3D printers can achieve. Casual users have to be able to overcome the barrier of the knowledge deficit, which imposes a limit to extensive use of 3D printers casually.

The existing hobbyist-friendly additive prototyping methods tend to produce parts from a very narrow choice of materials, all of which exhibit fairly poor mechanical characteristics; there are no signs that this will change in the coming years. With CNC mills, the situation is much better – but some of the essential materials remain difficult or expensive to process (for example, most rubbers don’t machine particularly well).

Material limitations are another concern. Currently, 3D printers are optimised to use a single material, usually a plastic. Most objects are made from multiple materials. An inability to print electronic circuits and their casings together is a major drawback.

There are many objects, such as firearms, that you could make with a 3D printer, but shouldn’t or wouldn’t—and not just because of legal issues. Gun mechanisms aren’t easily produced by 3D printers and will be sub-par due to the material and construction limitations. This extends to other products as well. Capability does not indicate intent.

3D printing as it currently is will not be changing manufacturing but will complement it. It serves as as way to customise designs and enhances the design work process and prototyping process, but does not fundamentally affect manufacturing workflows. While further development of the technology can change that, this is yet to be seen.

Most overhype of 3D printing comes from misunderstanding what a 3D printer is. Different machines do different things, with different goals and materials in mind, whether it is printing key chains and phone casings or printing out blood vessels and organs. And these are evolving separately. The fact that a single expensive, highly specialised machine can print bicycles from nylon or carbon fiber filament does not mean all printers can do this.

3D printers are popularly perceived as tools enabling users to directly manufacture virtually any product. This belief is misguided. Both 3D printing and CNC machining processes tend to be more useful in producing tooling patterns – shapes that serve as input to more specialized manufacturing processes. Rather than a standalone fabricator platform, they serve as part of a manufacturing workflow in manufacturing a larger object.

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Singtel faces service disruption again, just two weeks after landline issues

Singtel experienced service disruptions again on 24 October morning, just two weeks after facing landline issues. Around 10 am, the telecommunications provider acknowledged on Facebook that some mobile customers were experiencing intermittent connectivity problems. Singtel apologised for the inconvenience and advised users to restart their devices to restore connectivity.

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SINGAPORE: On Thursday morning (24 October), multiple users reported that SingTel services are down.

Many observed that 4G connectivity was entirely unavailable, with their devices only able to connect to 3G, indicated by an H+ symbol.

Around 10 am, the Singaporean telecommunications provider took to Facebook to acknowledge that some mobile customers might be experiencing intermittent connectivity issues.

SingTel apologised for the disruption and advised users to restart their devices to restore connectivity.

Commenters on SingTel’s Facebook page noted that they initially thought their phones were malfunctioning.

Some users shared that they checked their mobile networks upon seeing the company’s post. They reported that toggling flight mode on and off temporarily resolved the issue.

A check on Downdetector indicated a surge in outage reports for SingTel, starting around 7 am this morning. At its peak, at 9.38 am, Downdetector recorded 936 reports concerning the outage.

The majority of reported problems involved no signal (58%), followed by issues with mobile internet connectivity (34%).

On 8 October noon, a significant landline outage affected Singtel customers across the island. The disruption also impacted emergency call services, affecting both the Singapore Civil Defence Force (SCDF) and the Singapore Police Force (SPF).

Members of the public who had difficulties reaching emergency numbers 995 or 999 were advised to send an SMS to SCDF at 70995 or SPF at 70999, which resumed operation at 7 pm on the same day.

The Infocomm Media Development Authority (IMDA) earlier emphasised that it takes any interruption to public telecommunications services seriously and will conduct a thorough investigation into the 8 October disruption.

This is a developing story.

 

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OpenAI to open second Asian office in Singapore

OpenAI will open its second Asian office in Singapore in 2024, following its first office in Tokyo established earlier this year. This fourth international branch aims to enhance regional collaboration and partner with local initiatives, including AI Singapore, focusing on generative AI models that reflect Southeast Asia’s diverse cultures and languages.

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SINGAPORE:  OpenAI, the San Francisco-based leader in generative artificial intelligence (AI), has revealed plans to open its second Asian office in Singapore later in 2024.

This will mark the company’s fourth international branch, focusing on enhancing regional collaboration and partnering with local initiatives, such as the national AI programme, AI Singapore.

This expansion comes on the heels of OpenAI securing billions of dollars in funding and credit, leading to a valuation of $157 billion, bolstered by support from SoftBank Group Corp., a prominent AI investor.

Earlier this year, the US startup established its first Asian office in Tokyo, where it introduced a bespoke GPT-4 model specifically designed for Japanese-language customers.

CEO Sam Altman expressed excitement about the move, stating, “Singapore, with its rich history of technology leadership, has emerged as a leader in AI, recognising its potential to solve some of society’s hardest problems and advance economic prosperity. ”

“We’re excited to partner with the government and the country’s thriving AI ecosystem as we expand into the APAC region.”

Altman, who last visited Singapore in June 2023, highlighted the increasing demand for advanced AI tools across APAC, noting that Singaporeans rank among the highest-per-capita users of ChatGPT globally.

The number of weekly active users in Singapore has doubled since the start of 2024.

OpenAI plans to hire between five and ten employees before 2025 for roles related to sales, security, and solutions engineering, with a strong commitment to local talent.

The regional operations will be led by Oliver Jay, former chief revenue officer at Asana, who will serve as managing director of International based in Singapore.

The firm intends to collaborate more closely with Singaporean government partners, such as the Economic Development Board (EDB), to support AI development in the region.

OpenAI aims to invest up to US$1 million in resources to create AI models that accurately reflect the region’s diverse languages and cultures in partnership with AI Singapore.

AI Singapore is currently developing Sea-Lion, a network of large language models akin to ChatGPT, specifically trained for Southeast Asian users to ensure that the AI captures the region’s unique cultural nuances.

Since the public launch of ChatGPT in 2022, OpenAI’s technology has rapidly integrated into various AI solutions for businesses and government entities in Singapore, including customer service chatbots and an internal AI assistant for civil servants known as Pair.

Competing AI models from Google Cloud and Meta are also being tested in several local projects.

This expansion comes amidst reports of OpenAI transitioning from a non-profit research lab to a more investor-friendly, for-profit model due to rising operational costs associated with running powerful AI systems globally.

While OpenAI maintains that its non-profit arm is central to its mission, this shift has raised industry concerns regarding the management of AI risks, including data collection practices and ethical considerations.

OpenAI is set to host its first Developer Day in Singapore on 21 November, targeting local developers and start-ups to foster innovation in the AI space.

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