Sludge Treatment Look-Up Table for Parameter Optimization

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Solution Overview

Problem

The unpredictability of synergistic effects in sewage sludge treatment processes makes it challenging to determine optimal levels of de-watering, shearing, and heating parameters to achieve desired properties in treated sludge, leading to inefficiencies and increased costs in sludge treatment stations.

Innovation Solution

Compiling and maintaining a look-up table with input conditions, target properties, and engineered treatment parameters to optimize sludge treatment processes, considering de-watering apparatus, ambient conditions, reactor size, shearing power, and treatment time, allowing for cost-effective and efficient sludge liquefaction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If de-watering, shearing, and heating equipment is over-provided to ensure desired treatment outcomes, then treatment reliability is improved, but device complexity and cost increase

Engineering Contradiction:
Improvetreatment reliabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by systematically varying de-watering levels, shearing power, heating temperature, and treatment time to create a comprehensive data table. This table enables prediction of treatment outcomes without over-providing equipment, resolving the contradiction between reliability and device complexity.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent performs preliminary actions by compiling treatment data in advance into a reference table during the design phase. This pre-established data allows engineers to determine optimal equipment specifications before actual treatment, avoiding the need to over-provide equipment while ensuring reliable treatment outcomes.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If reactor capacity is increased to improve throughput rate, then productivity is improved, but device complexity and cost increase

Engineering Contradiction:
Improvethroughput rateVSAvoiddevice complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent uses parameter changes by incorporating treatment time as a variable in the data table. This allows optimization of throughput rate by adjusting treatment duration rather than simply increasing reactor capacity, thereby improving productivity without proportionally increasing device complexity.

Inventive Principle:
Principle #35Parameter changes

3Loss of time

If de-watering level is increased to reduce treatment time, then treatment speed is improved, but manufacturing precision of treatment outcome decreases

Engineering Contradiction:
Improvetreatment timeVSAvoidviscosity control precision
Core Design Contradiction:
Loss of timeVSManufacturing precision

Solution Approach 1:

The patent applies parameter changes by systematically varying de-watering levels in combination with shearing power, heating temperature, and treatment time. The resulting data table shows how these parameters interact to achieve target viscosity, enabling precise viscosity control even at higher de-watering levels that reduce treatment time.

Inventive Principle:
Principle #35Parameter changes

4Manufacturing precision

If treatment parameters are optimized to reduce viscosity, then treatment effectiveness is improved, but device complexity increases due to need for precise parameter control

Engineering Contradiction:
Improveviscosity reductionVSAvoidparameter control complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary action by compiling all treatment parameter combinations and their outcomes into a reference table during the design phase. This pre-established data allows selection of optimal parameters without requiring complex real-time control systems, achieving precise viscosity reduction while minimizing device complexity.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables designers to predict and achieve the most economical and cost-effective sludge treatment outcomes by providing a structured approach to determining optimal treatment parameters, reducing the need for over-engineering and minimizing trial-and-error methods.

Implementation Method 1

subjecting the de-watered sludge to a combination of violent shearing, raised temperature, and raised pH

Methodology Applied
Scientific EffectShear stress: Shear Stress

Implementation Method 2

subjecting the de-watered sludge to a combination of violent shearing, raised temperature, and raised pH

Methodology Applied
Scientific EffectHeating: Heating

Implementation Method 3

subjecting the de-watered sludge to a combination of violent shearing, raised temperature, and raised pH

Methodology Applied
Scientific EffectpH adjustment:

Data Source

PatentUS9260322B2Sludge treatment system
Publication Date: 2016.02.16 LYSTEK INT
  • US9260322B2 patent drawing
  • US9260322B2 patent drawing

AI summary

When liquefying sludge, e.g as in U.S. Pat. No. 6,808,636, the combination of temperature, pH, and shearing, is synergistic. Described here is a system that provides for collating test sampling and full-scale data inputs, recording achieved results and the engineering parameters that achieved those particular results. The data is presented in e.g a table format, which assists design engineers to zero-in on the combinations of parameters that will likely give the desired results.