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Formulation Optimization of Polyaspartic

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Formulation Optimization of Polyaspartic

Formulation Optimization of Polyaspartic
Formulation Optimization of Polyaspartic

Large Image :  Formulation Optimization of Polyaspartic

Product Details:
Place of Origin: Zhuhai, China
Brand Name: Zhuhai Feiyang
Certification: ISO 9001-2015, ISO 14001-2015
Model Number: Formulation Optimization of Polyaspartic
Payment & Shipping Terms:
Minimum Order Quantity: 200kg
Packaging Details: 200kgs net weight in a steel drum
Delivery Time: 7 days after orders comfirmed
Payment Terms: L/C, T/T
Supply Ability: More than 20000 tons per year

Formulation Optimization of Polyaspartic

Description

Formulation optimization of polyaspartic is a precise, systematic process aimed at balancing performance, application properties, cost, and environmental requirements. The core of this process involves adjusting component ratios, incorporating functional additives, selecting novel raw materials, and optimizing process parameters to enhance the overall performance of the coating.

 

Core Component Optimization

1. Selection and Combination of Polyaspartic Ester Resins

Reactivity Control:

Selecting resin combinations with varying substituents (R1, R2) and molecular weights (e.g., fast-curing plus slow-curing) precisely controls gel time (adjustable from minutes to tens of minutes).

Optimization Direction:

Extending application windows while ensuring quick drying (walkable in 1-2 hours).

Performance Balance:

  • Hardness vs. Flexibility: Highly branched resins provide hardness, while long-chain resins enhance flexibility and low-temperature impact resistance (e.g., coatings for wind turbine blades must withstand impacts at -40°C).
  • Chemical Resistance: Selecting cycloaliphatic amine structures (such as IPDA derivatives) to improve solvent resistance.

Innovative Strategies:

  • Blending Modification: Blending with small amounts of hydroxyl-functional resins (polyester, acrylate) or epoxy resins to improve adhesion or reduce costs (compatibility and reaction mechanisms must be considered carefully).

Formulation Optimization of Polyaspartic 0

 

2. Selection of Polyisocyanates (-NCO Component)

Influence of Types:

  • HDI trimer: Mainstream choice; excellent weather resistance, moderate viscosity.
  • IPDI trimer: Higher hardness and better heat resistance, but higher viscosity and cost.
  • Mixed trimer: HDI/IPDI mixtures balance performance and cost.

NCO:NH Ratio (Equivalent Ratio, Typical 1.0:1.0):

  • Ratio >1.0: Higher crosslink density, increasing hardness and chemical resistance but potentially reducing flexibility.
  • Ratio <1.0: Retains more secondary amine groups, increasing flexibility but potentially compromising solvent resistance.

 

Key Additive System Optimization

1. Rheology and Leveling Control

Formulation Optimization of Polyaspartic 1

 

2. Curing and Catalyst Systems

Catalyst Selection:

  • Divalent Organotin (DBTL): Efficient but environmentally problematic (increasingly restricted).
  • Metal-free Catalysts (e.g., tertiary amines): Environmental trend—such as DABCO or DMDEE—amount optimization required to avoid brittleness.
  • New Eco-Friendly Catalysts: Bismuth-zinc complexes (e.g., Borchi Kat 315), balancing activity and environmental concerns.

 

Optimization Strategies:

  • Low-temperature curing: Increasing catalyst dosage or using low-temperature active catalysts (e.g., DMDEE) for application below 5°C.
  • High-temperature pot-life control: Reducing catalyst dosage or adding retarders (e.g., acidic phosphate esters).

 

3. Improving Weatherability and Stability

UV Protection:

  • UV Absorbers: Benzotriazoles (e.g., Tinuvin 1130) absorbing UVB/UVA.
  • HALS (Hindered Amine Light Stabilizers): Such as Tinuvin 292, neutralizing radicals to prevent yellowing (use cautiously with acidic substances).

 

Thermo-oxidative Stability:

  • Adding antioxidants (e.g., Irganox 1010).

 

Storage Stability:

  • Moisture Scavengers: Adding molecular sieves (e.g., Baylith L Paste) to prevent NCO-water reactions.
  • Dispersion Stability: Polymer dispersants (e.g., BYK-163) preventing pigment and filler settling.

 

Pigment and Filler System Design

1. Functional Fillers Application

Formulation Optimization of Polyaspartic 2

 

2. Pigment Selection and Dispersion

Weather Resistance:

Selecting inorganic pigments (e.g., titanium dioxide, iron oxides) or high-performance organic pigments (e.g., quinacridone red).

Dispersion Process:

  • Grinding with zirconia or glass beads in high-speed dispersers to a fineness ≤20μm.
  • Selecting dispersants with appropriate anchoring groups (e.g., BYK-110 for inorganic pigments).

 

Environmental and Cost Optimization Strategies

1. High-Solids/Solvent-Free Systems

  • Resin Viscosity Reduction: Selecting low-viscosity polyaspartic esters.
  • Reactive Diluent: Adding small amounts of mono-functional polyaspartic esters or low-viscosity isocyanates (e.g., HDI monomer) to reduce viscosity without compromising crosslinking.

 

2. Bio-based/Renewable Raw Materials

  • Bio-based Resins: Partially bio-based polyaspartic esters derived from plant-oil modified polyols (e.g., BASF’s partially bio-based products).
  • Natural Fillers: Using renewable fillers like bamboo powder or rice husk ash (addressing water-resistance issues required).

 

3. Cost Control

  • Filler Substitution: Partial replacement of quartz sand with calcium carbonate (controlling proportion to avoid hardness loss).
  • Localized Sourcing: Using domestic high-performance polyaspartic resins to reduce raw material costs.
  • Simplified Formulation: Experimentally reducing additive variety (multi-functional additives replacing single-function additives).

 

Scenario-specific Optimization

Formulation Optimization of Polyaspartic 3

 

Experimental Validation and Characterization Methods

Rigorous testing required for optimization:

  • Application Properties: Gel time (GB/T 7123), pot-life, sagging limits (ASTM D4402).
  • Mechanical Properties: Hardness (Shore D, ISO 868), abrasion resistance (Taber, ASTM D4060), adhesion (pull-off method, ISO 4624).
  • Weatherability/Chemical Resistance: QUV aging (ASTM G154), salt spray test (ISO 9227), chemical resistance immersion tests (acids, bases, solvents, ISO 2812).
  • Microstructural Analysis: SEM for filler dispersion, DSC for glass transition temperature (Tg), FTIR for curing degree.

 

Core Logic of Formulation Optimization

Formulation Optimization of Polyaspartic 4

 

Keys to Successful Optimization

Precise Requirement Definition: Clearly prioritizing coating core performance (e.g., abrasion resistance for flooring, impact resistance for wind power).

Synergistic Component Interaction: Avoid additive interactions canceling out benefits (e.g., excessive silane leveling agents can reduce adhesion).

Dynamic Iteration: Rapid optimal ratio screening via DOE (Design of Experiments), combined with validation in application scenarios.

 

Through continuous optimization, polyaspartic is progressively surpassing performance limits, advancing towards higher durability, smarter construction, and greater environmental sustainability.

 

Feiyang has been specializing in the production of raw materials for polyaspartic coatings for 30 years and can provide polyaspartic resins, hardeners and coating formulations.

Feel free to contact us: marketing@feiyang.com.cn

 

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Contact our technical team today to explore how Feiyang Protech’s advanced polyaspartic solutions can transform your coatings strategy. Contact our Tech Team

 

 

 

Contact Details
SHENZHEN FEIYANG PROTECH CORP.,LTD

Contact Person: Annie Qing

Tel: +86 18307556691

Fax: 86-183-07556691

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