DSM Launches Bio-based Self-matting Resin for Floor Coatings

Royal DSM has announced the launch of a new, bio-based self-matting resin, Decovery® SP-2022 XP, that will take ultra-matt flooring finishes to new levels in terms of aesthetic and functional performance, ease of application and sustainability. The new resin underlines DSM’s ambition of using science and innovation to develop sustainable solutions that outperform conventional market alternatives.

Benefits of Decovery® SP-2022 XP Resin

  • Used to create low-gloss finishes on wooden and seamless flooring, Decovery® SP-2022 XP resin offers excellent levels of functional performance at a much-reduced environmental impact
  • Specifically, the resin has 30% bio-based content, can be formulated with low levels of VOCs (less than 250g/l based on 40 CFR 59.406), and is low in odor, while also delivering outstanding chemical resistance and mechanical properties, including scratch resistance
  • In this way, Decovery SP-2022 XP enables a premium, ultra-matt appearance while safeguarding the environment
  • In addition, the new resin addresses the strong market demand for ultra-matt coating products that are easier to apply and formulate
  • In particular, the Decovery® SP-2022 XP resin requires no matting agents, no difficult formulations, and offers excellent in-can stability
  • The new resin will enable significantly easier processing than many of the commercially available alternatives, with up to one-hour time savings in operations
  • Floor coatings made with Decovery® SP-2022 XP leave no roller marks or lapping, and – unlike traditional matt coating systems – show no polishing effect

Gerjan van Laar, Segment Marketing Manager EMEA, DSM Resins & Functional Materials: “Our new Decovery® SP-2022 XP resin is perfectly aligned with our purpose-led, performance-driven strategy in that it is a sustainable, bio-based product that enables excellent performance. This resin represents a new horizon for self-matting flooring finishes, and will deliver benefits throughout the value chain – to coating manufacturers, applicators, facility managers and consumers alike. Together with our partners, we can make the world better with bio-based flooring!”

Source: DSM


Encapsulation of linseed oil in graphene oxide shells for preparation of self-healing composite coatings

For self-healing of polymer coatings Microcapsules were developed. The Microcapsule shells were prepared via physical assembly of graphene oxide sheets.

Graphene oxide was employed as the stabilizer of Pickering emulsions. Source: arsdigital – stock.adobe.com.

Self-healing microcapsules were filled with a glue-like chemical that can repair damage and recover the original functions of materials. Graphene oxide (GO) was employed as the stabilizer of Pickering emulsions, and then the microcapsule shells were built upon the self-assembly of GO at oil/water interfaces. Linseed oil was encapsulated in the microcapsules as the healing agent.

Stabilization of the Pickering emulsions

Several important factors were studied that affected the stabilization of the Pickering emulsions and the formation of the integral microcapsules, such as the pH value of GO aqueous solution, the GO/linseed oil mass ratio and the effect of surfactant. Chemical stitching of GO sheets by polyetheramine molecules were employed to enhance the chemical stability of the microcapsules. The waterborne polyurethane (PU) composite coatings containing 10 wt% microcapsules autonomously healed a scratch with 20 μm in width. After healing, the impedance modulus of the composite coatings was four orders of magnitude higher than neat PU.

The study is published in: Progress in Organic Coatings Volume 129, April 2019, Pages 285-291.

Book tip

More on functional effect in coatings can be found in the comprehensive text book Functional Coatings by Nadine Rehfeld and Volkmar Stenzel.


Five facts on the water-borne coatings market

Water-based formulations are among the top trends in the coatings industry. How is the situation at the market currently? We have gathered five facts.

Water-borne coatings are developed as an alternative to solvent- borne coatings that contains high amount of VOCs, less eco-friendly in nature and causing several health issues. On the other hand, water-borne coatings are manufactured through green technology which is more eco-friendly in nature and adheres to the safety regulations proposed by REACH and other government organisations.

The global water-borne coatings market size was about EUR 62.4 billion in 2017 and is projected to reach about EUR 82.7 billion by 2022, at a CAGR 5.7% in terms of value.

The market by regions

Asia Pacific has been a bright spot in the global water-borne coatings market in the backdrop of the overall slowdown in global economic development.

Architectural coatings biggest segment

Architectural is the largest application of water-borne coatings. Rapid urbanisation, rising disposable income, and growing GDP in Asia Pacific resulted into increased demand for residential, commercial, and industrial infrastructure followed by renovation/re-paint of residential and commercial buildings.

Outlook

Forecasts for the coming years remain positive, driven in particular by rising demand for environmentally friendly technologies.

The facts are based on a longer article on the water-borne coatings market.

What are the most important resins?

There has been a shift toward water-borne acrylics, especially in the automotive basecoats due to environmental concerns.


These Four Environmental Factors Can Impact Your Perception of Color

Physical factors can interfere with our ability to see and describe colors the same way others do. That subjectivity gets in the way when we try to execute a designer’s vision or specify a change. It can also interfere with our ability to visually match a color to standard for production purposes.

As noted in our recent blog on the science of color perception, these physical factors might include:

  • Light source
  • Background
  • Altitude
  • Noise

The most important of these, since it’s fundamental to the way we see colors, is light.

The most critical factor: Light

Color of light

Objects absorb and reflect light. We can only see objects that reflect light into our eyes, and the color we see depends upon the wavelengths of light that are reflected. When the visible spectrum is reflected equally, we perceive an object as white. When it absorbs most light, we see it as black.

Color in light, unlike pigment, depends on the spectral energies contained in the light. Objects that appear red reflect the red energy while absorbing all others. Without the red energy a normally “red” object will appear black.

Light we perceive as “cool” includes more blue than does “warm” or yellowish light. The color of a light source can be described by measuring the relative powers of various wavelengths. As this spectral power distribution (SPD) changes, so does the way light is reflected to our eyes, which affects the colors we perceive.

Light sources are measured according to their ability to accurately reveal colors in comparison with natural lighting. This value, determined by the spectrum of the light source, is called a color rendering index (CRI) and is often indicated on commercial lamps. The CRI for natural, outdoor light is 100.

Retailers, restaurateurs, and office space designers are among those who routinely consider CRI in an effort to make goods more attractive and an atmosphere more inviting. But natural light varies with the weather, time of year, time of day, and position of a building, among other factors.

Lighting designers can make adjustments by careful selection of artificial light. And paint and textile colors can be chosen to offset characteristics of natural light. For instance, indirect northern light can make colors appear darker, so a designer might select brighter paint and textile colors than they would for a southern exposure.

Intensity of light

In addition to color, the power of the light source can also affect the perceived colors of objects it illuminates. Brighter isn’t always better, though. Research from the Lighting Research Center has compared the relationship of efficacy to CRI, gamut area, and full-spectrum color index values. Sometimes very bright lights, for instance high-pressure sodium lamps, scored poorly on color rendering. Depending upon the application, color might be more important than brightness.

The following Datacolor blog posts also discuss the relationship between light sources and color:

Backgrounds and color

Colors can appear quite different depending upon their context – not just the brightness of the viewing area, but the relationship between a color sample and its background. The Datacolor blog When it Comes to Color Why Can’t We Agree? provides examples of optical illusions in which colors appear different depending upon the density or color of the background.

Five additional examples of color illusions show why it can be so difficult to match colors accurately. Even when variables are as tightly controlled as possible, color perception is variable and subjective.

Altitude

Color perception has been shown to change in high altitudes. One study evaluated the effect of reduced oxygen levels that create physiological changes in the eye. Another found that vision changes climbers experienced at high altitudes reversed themselves within a short time when the subjects returned home.

Noise

The relationship between sound and color has fascinated scientists for hundreds of years. Plato and Aristotle speculated about the relationship between color and music, and Sir Isaac Newton styled his color wheel to correspond to the musical scale. Synesthesia is a well-known condition whereby people can hear colors (or experience other crossed senses).

But while sound can trigger a color, it’s not clear whether sound – especially noise – can suppress color perception. One study measured “hue bias” associated with several factors, including noise, and did see a relationship. Another study indicated that bursts of white noise could suppress visual perception generally, but it didn’t single out color perception.


Why Does Color Perception Cause so Many Disagreements?

You might’ve heard that color is highly subjective. Working in the color management industry, our team is quite familiar with this fact. But don’t just take our word for it. Today, we’re launching a new series where we dive into the science behind color perception and the many factors that impact how we see (which, by the way, is not  exactly the same as how our friends or neighbors or coworkers see).

Today’s post explores some of the basics of color vision and perception. Later, we’ll go into physical factors that impact color perception. Finally, we’ll cover environmental factors.

We hope you’ll walk away with a better understanding of why we so often disagree when it comes to color.

How we see

We see thanks to photoreceptor cells in the retinas of our eyes that transmit signals to our brains. Highly sensitive rods allow us to see at very low light levels – but in shades of gray. To see color, we need brighter light and cone cells that respond to roughly three different wavelengths:

  • Short (S) – blue spectrum (absorption peak ≈ 445 nm)
  • Medium (M) – green spectrum (absorption peak ≈ 535 nm)
  • Long (L) – red spectrum (absorption peak ≈ 565 nm)

This is the basis of trichromatic theory, also called Young-Helmholtz after the researchers who developed it. It was only confirmed in the 1960s.

Opponent process theory postulates that color vision depends upon three receptor complexes with opposite actions: light/dark (white/black), red/green, and blue/yellow. Together, the two theories help describe the complexity of our perception of color.

Perceived color depends upon how an object absorbs and reflects wavelengths. Human beings can only see a small portion of the electromagnetic spectrum, from about 400 nm to 700 nm, but it’s enough to allow us to see millions of colors.

Subjectivity in color perception

We’re pretty good at recognizing the color of familiar objects even as lighting circumstances change. This adaptation of eye and brain is known as color constancy. It doesn’t apply to subtle color variations, though, or counteract the changes in color due to intensity or quality of light.

We might also be able to agree with each other on the wavelengths that define basic colors. This might have more to do with our brains than our eyes. For instance, in a 2005 study at the University of Rochester, individuals tended to perceive colors the same way even though their number of cones in their retinas varied widely. When volunteers were asked to tune a disk to what they’d describe as “pure yellow” light, everyone selected nearly the same wavelength.

But things get much more complicated when individuals or multiple people try to match colors to samples. Physical/environmental factors and personal differences among viewers can alter perception. These factors include:

Physical Personal
·      Light source·      Background

·      Altitude

·      Noise

·      Age·      Medications

·      Memory

·      Mood

Mathematics of color

Since environmental and personal factors influence color perception, we can’t be assured of accurate matches when we’re comparing colors visually to a standard sample. This can cause real business problems like production delays, material waste, and quality control failures.

As a result, businesses are turning to mathematical equations to specify colors and non-subjective measuring devices to ensure matching.

The CIE color model, or CIE XYZ color space, was created in 1931. It’s essentially a mapping system that plots colors in a 3D space using red, green, and blue values as the axes.

Many other color spaces have been defined. CIE variants include CIELAB, defined in 1976, where L refers to luminance, A the red/green axis, and B the blue/yellow axis. Yet another model, CIE L*C*h, factors in lightness, chroma, and hue.

Measurement depends upon colorimeters or spectrophotometers that provide digital descriptions of colors. For instance, the percentages of each of the three primary colors required to match a color sample are referred to as tristimulus values. Tristimulus colorimeters are used in quality control applications. Datacolor offers a complete line of spectrophotometers suitable for a variety of industries and more sophisticated applications.

MORE READING:

Color Perception Tutorial

Human Vision and Color Perception

Know Your Brain: Primary visual cortex

The Future of Color Measurement

Keys to color management


Dow to Build Innovation Center for Silicone Science & Organic Chemistry

Author : SpecialChem

Andrew Liveris, chairman and chief executive officer of The Dow Chemical Company has announced that the Company will begin construction of a new USD 100 million Innovation Center designed to drive innovation at the intersections of silicone science and organic chemistry at the heritage Dow Corning corporate campus.

Dow to Build Innovation Center for Silicone  Science & Organic Chemistry
Dow to Build Innovation Center for Silicone
Science & Organic Chemistry

Technological Innovations for Growth

The new facility will host approximately 200 research and development employees who will explore future technologies at the intersections of silicone chemistry and Dow’s unparalleled knowledge of materials science and organic chemistry. Dow, which started exploring silicone chemistry nearly 80 years ago upon creating the Dow Corning joint venture, enhanced its ability to combine these technologies after completing the ownership restructuring of Dow Corning in June, 2016.

Liveris said:

“This is a monumental day for Dow, our employees and for Michigan as it marks another tremendous milestone in our company’s more than 120 year history. This world-class facility could have been located anywhere and we chose to invest right here in Michigan because both the U.S. and the state have a growing and vibrant research, development and manufacturing sector creating new opportunities every day.”

New Innovation Center

The new innovation center will be a key enabler in Dow achieving its initial $100 million growth synergy target, as well as more than $500 million of additional Dow-enabled bottom-line growth the Company now expects to achieve across the enterprise from integrating silicones into the Dow portfolio.

This bottom-line growth, coupled with Dow’s latest cost synergy target of more than $650 million, greatly enhance silicones’ profitability. Dow now expects EBITDA to increase to more than $2 billion by the end of 2019 more than double its initial projection.

Increasing Research & Development Efforts

This added R&D power will complement the work of Dow’s more than 1,200 researchers and developers already based in the Great Lakes Bay Region, to focus on market opportunities such as advancing technologies for home and personal care products, enhancing and broadening Dow’s energy-saving building technologies, advancing materials science for critical infrastructure and driving closer partnerships with customers and value chain leaders.

Liveris first announced the project in December, 2016, at a Grand Rapids, Mich. event with then U.S. President-elect Donald J. Trump. These investments further illustrate Dow’s long-term commitment to investing and growing in Michigan’s Great Lakes Bay Region, as the Company also celebrated today the grand opening of its new global headquarters building in Midland – a state-of-the-art, 184,000 square-feet, six-story building that will host approximately 470 employees and contractors.

During the last 10 years, Dow and its regional development partners have driven more than $400 million of investment and downtown economic redevelopment in the Great Lakes Bay Region, home to the Company and nearly 13,000 of its employees and contractors.