From August 5 to 8, 2026, at the Bombay Exhibition Centre in India, White made its debut at the Indian Tape and Film Exhibition with three key models: the F300 single-axis cutting machine, the F6C fully automatic cutting machine, and the HT-807S high-speed rewinding machine. During the exhibition, White's booth welcomed over 400 professional visitors, approximately 60% of whom were from India, while the rest came from neighboring regions such as Bangladesh, Sri Lanka, and the Middle East.
Largest Order: 12 F300 Cutting Machines to Serve Major Tape Manufacturers in India
On the second day of the exhibition, White signed a framework agreement with a tape manufacturer in Gujarat with an annual capacity exceeding 50,000 tons. The client plans to purchase 12 F300 cutting machines in batches over the next year to replace their aging equipment. The first batch of four machines is expected to be delivered in October 2026. The client's technical director stated: “We tested the sample machine of the White F300, running continuously for a week and cutting 200,000 rolls, with precision stable within ±0.07mm. Considering the price and performance, we believe this is currently the most suitable mid-range cutting machine for the Indian market.”
Exhibition Interaction Was Thriving, with Long Lines for Live Cutting Demonstrations
White set up a "Bring Your Own Material for Live Cutting" activity at their booth, allowing visitors to bring their own BOPP, masking paper, or PET tape rolls for engineers to operate the F300 for slitting. Over the four days, there were more than 150 live cutting demonstrations, with nearly every machine continuously in operation. Many visitors left their contact information after trying the cutting demonstrations.
South Asia Market Strategy: New Delhi Office Under Construction
During the exhibition, White's international business leader revealed that the company plans to establish an office in New Delhi, India, in early 2027, equipped with resident sales and after-sales engineers. They are also considering setting up a spare parts warehouse in Mumbai to shorten the supply time for parts in Western India.
“India is the largest tape producer in South Asia and one of White's most important overseas markets in the next three years. Participating in the Mumbai exhibition is our first step in deepening our presence in the Indian market, and we will continue to invest moving forward,” said the leader.
IV. Technological Innovation
Title: White Develops "Smart Material Library" System, Enabling Cutting Machines to Automatically Adapt to 100 Types of Tape Parameters
Abstract: Different tape materials have varying requirements for tension, cutting speed, and blade angle. Experienced operators adjust machines based on intuition, while novices are prone to errors. White's R&D team has developed the "Smart Material Library" system, which can store and manage processing parameters for over 100 types of materials. Operators simply select the material name, and the equipment automatically completes all settings. This article reveals the technical principles and practical application effects of this system.
Main Text:
In tape processing, different materials—BOPP, masking paper, PET, double-sided tape, foam—have completely different parameter requirements for cutting machines. Improper tension settings can lead to stretching or slackness, excessive cutting speed can result in rough edges, and deviations in blade angle may cause incomplete cuts.
Previously, these parameters relied on the memory and feel of experienced operators. If an experienced operator left, new employees would have to start from scratch, wasting materials and time.
Over the past year, White's R&D team has developed the "Smart Material Library" system, transforming experience into data, enabling the equipment to possess "memory" and "self-learning" capabilities.
System Principles: Two Core Modules
Module One: Expert Parameter Library (Preset)
White engineers conducted systematic testing on 15 of the most common tape materials, including BOPP, masking paper, PET, double-sided tape, and release paper, recording the optimal process parameters for each type of material: unwind tension (N/m), rewind tension curve, cutting speed (m/min), blade penetration depth (mm), round knife/straight knife selection, labeling delay, etc. These validated data are preset in the system, ready for users to use upon unboxing.
Module Two: Self-Learning and Cloud Sharing (Optional)
If users encounter special materials (such as ultra-thin PET or high-adhesion foam), they can enter "learning mode": manually set a group of parameters for trial cutting, and the system records the trial cutting results (edge quality, dimensional accuracy, winding tightness). Once the user confirms satisfaction, the system automatically saves this set of parameters and names it as a new material. In the future, when encountering the same material, it can be retrieved with one click. If the user authorizes, these new material parameters can be anonymized and uploaded to the cloud for reference by other White users.
Practical Application Data
At a certain e-commerce tape factory in Yiwu, we compared the order change efficiency before and after using the smart material library:
Before use: Average time to adjust the machine for order changes was 16 minutes, with about 10 minutes spent searching for and verifying parameters.
After use: Average time to adjust the machine for order changes was 2.5 minutes (mainly for physical knife changes and loading).
Operators' skill requirements decreased from "must be skilled workers" to "ordinary workers," with training time reduced from 2 weeks to 1 day.
Technical Leader's Comments
“Equipment should not just be a tool that executes commands; it should understand material characteristics and make decisions like an experienced operator. The Smart Material Library is our first step in this direction.” — Head of Software Control Department, White R&D Center
Future Plans
White plans to launch a "Material Parameter Cloud Market" in 2027, allowing users to download verified material formulas from other factories, further reducing trial and error costs.