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Beste KI-Eingabeaufforderungen für den Maschinenbau

KI beflügelt den Maschinenbau
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KI-gesteuerte Werkzeuge revolutionieren den Maschinenbau, indem sie die Konstruktionsoptimierung, die Simulationsgeschwindigkeit, die vorausschauende Wartung und die Materialauswahl durch fortschrittliche Datenanalyse und Mustererkennung verbessern.

Online-KI-Tools verändern den Maschinenbau rapide, indem sie die menschlichen Fähigkeiten in den Bereichen Konstruktion und Analyse ergänzen, Herstellungund Wartung. Diese KI-Systeme können riesige Datenmengen verarbeiten, komplexe Muster erkennen und neue Lösungen viel schneller als herkömmliche Methoden entwickeln. So kann KI Sie beispielsweise bei der Optimierung von Konstruktionen im Hinblick auf Leistung und Herstellbarkeit unterstützen, komplexe Simulationen beschleunigen, Materialeigenschaften vorhersagen und eine Vielzahl von Analyseaufgaben automatisieren.

Die nachstehenden Hinweise helfen beispielsweise bei der generativen Konstruktion, beschleunigen Simulationen (FEA/CFD), helfen bei der vorausschauenden Wartung, bei der KI Sensordaten von Maschinen analysiert, um potenzielle Ausfälle zu prognostizieren, ermöglichen eine proaktive Wartung und minimieren Ausfallzeiten, helfen bei der Materialauswahl und vieles mehr.

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AI Aufforderung an Fishbone-Diagramm Eingaben für das Scheitern

Hilft bei der Strukturierung eines Fishbone-Diagramms (Ishikawa-Diagramm) für ein mechanisches Bauteilversagen, indem es potenziell beitragende Faktorkategorien (z. B. Mensch, Maschine, Material, Methode, Umwelt, Messung) und spezifische Fragen vorschlägt, die auf der Grundlage der Fehlerbeschreibung für jede Kategorie zu stellen sind. Diese Aufforderung erleichtert eine systematische Analyse der Fehlerursache. Die Ausgabe ist eine als Markdown formatierte Gliederung.

Ausgabe: 

				
					Act as a Root Cause Analysis (RCA) Facilitator.
Your TASK is to help structure a Fishbone (Ishikawa) Diagram to investigate the root cause of a failure involving `{component_that_failed}`.
The described failure is: `{failure_mode_description}`.
The failure occurred under these conditions: `{operating_conditions_at_failure_text}`.
You should propose key questions for standard Fishbone categories tailored to this mechanical failure context.

**FISHBONE DIAGRAM STRUCTURE INPUTS (MUST be Markdown format):**

**Problem Statement (Head of the Fish):** Failure of `{component_that_failed}`: `{failure_mode_description}`

**Main Bones (Categories) and Potential Contributing Factor Questions:**

**1. Machine (Equipment / Technology)**
    *   Was the `{component_that_failed}` the correct type/model/specification for the application?
    *   Was the equipment where `{component_that_failed}` is installed operating correctly before/during the failure? (e.g.
 speed
 load
 pressure
 temperature within design limits described in `{operating_conditions_at_failure_text}`?)
    *   Had there been any recent maintenance
 repair
 or modification to the machine or `{component_that_failed}`? Were procedures followed?
    *   Was auxiliary equipment (e.g.
 cooling
 lubrication
 power supply) functioning correctly?
    *   Is there a history of similar failures with this machine or other similar machines?
    *   Could any tooling
 fixtures
 or associated parts have contributed to the failure of `{component_that_failed}`?

**2. Method (Process / Procedure)**
    *   Were correct operating procedures being followed when the failure occurred
 considering `{operating_conditions_at_failure_text}`?
    *   Were installation or assembly procedures for `{component_that_failed}` followed correctly?
    *   Were maintenance procedures adequate and followed correctly for `{component_that_failed}` and related systems?
    *   Were there any recent changes in operating procedures
 set-points
 or work instructions?
    *   Was the system being operated outside of its design intent or capacity?
    *   Could any testing or quality control procedures related to `{component_that_failed}` have missed a defect?

**3. Material (Includes Raw Materials
 Consumables
 `{component_that_failed}` itself)**
    *   Was the `{component_that_failed}` made from the specified material? Was material certification available/correct?
    *   Could there have been a defect in the material of `{component_that_failed}` (e.g.
 inclusions
 porosity
 incorrect heat treatment
 flaws)?
    *   If consumables are involved (e.g.
 lubricants
 hydraulic fluids
 coolants)
 were they the correct type
 clean
 and at the correct level/condition?
    *   Has the `{component_that_failed}` been exposed to any corrosive or degrading substances not accounted for in its design?
    *   Could there have been issues with material handling or storage of `{component_that_failed}` before installation?

**4. Manpower (People / Personnel)**
    *   Was the operator/maintenance personnel adequately trained and qualified for the task they were performing related to `{component_that_failed}` or its system?
    *   Was there sufficient experience or supervision?
    *   Could human error (e.g.
 misjudgment
 incorrect assembly
 misreading instructions
 fatigue) have contributed?
    *   Were personnel following safety procedures? Were they rushed or under stress?
    *   Was there clear communication regarding operational or maintenance status?

**5. Measurement (Inspection / Instrumentation)**
    *   Were measuring instruments or sensors used to monitor `{operating_conditions_at_failure_text}` (e.g.
 temperature
 pressure
 vibration
 current) calibrated and functioning correctly?
    *   Were any warning signs or abnormal readings from instruments ignored or misinterpreted prior to the failure of `{component_that_failed}`?
    *   Were quality control checks or inspections of `{component_that_failed}` (pre-installation or during service) performed correctly and were the criteria appropriate?
    *   Could there be inaccuracies in the data used to assess the condition of `{component_that_failed}`?

**6. Environment (Operating Conditions / Surroundings)**
    *   Were the environmental conditions (temperature
 humidity
 cleanliness
 vibration from external sources) as described in `{operating_conditions_at_failure_text}` within design limits for `{component_that_failed}`?
    *   Could any unusual environmental factors (e.g.
 sudden impact
 flooding
 power surge
 foreign object ingress) have contributed?
    *   Was the `{component_that_failed}` properly protected from the operating environment?
    *   Could long-term environmental exposure (e.g.
 corrosion
 UV degradation) have weakened `{component_that_failed}`?

**Instructions for User**: Use these questions as starting points to brainstorm specific potential causes under each category for the failure of `{component_that_failed}`. Further drill down with 'Why?' for each identified cause.
							

AI Aufforderung an Ethischer Rahmen für autonome Maschinen

Schaffung eines Rahmens für ethische Überlegungen bei der Entwicklung autonomer mechanischer Systeme mit Schwerpunkt auf Sicherheitsverantwortung und Entscheidungsfindung in unvorhergesehenen Szenarien. Diese Aufforderung hilft Ingenieuren, ethische Herausforderungen während der Entwurfsphase komplexer Maschinen proaktiv anzugehen. Die Ausgabe ist ein strukturiertes Markdown-Dokument.

Ausgabe: 

				
					Act as an Ethics Advisor specializing in AI and Autonomous Systems in Mechanical Engineering.
Your TASK is to generate a structured ethical framework for the development and deployment of an `{autonomous_system_type}` operating in `{operational_environment_description}`.
The framework should address key ethical principles and provide guidance for handling scenarios listed in `{key_decision_making_scenarios_csv}` (a CSV string like 'Scenario_ID
Description
Potential_Conflict
e.g. S1
Obstacle_Avoidance
Prioritize_occupant_safety_vs_pedestrian_safety').

**FRAMEWORK STRUCTURE (MUST be Markdown format):**

**1. Introduction**
    *   Purpose of the Ethical Framework for `{autonomous_system_type}`.
    *   Scope of application considering `{operational_environment_description}`.

**2. Core Ethical Principles** (Define and explain relevance for `{autonomous_system_type}`)
    *   **Safety & Non-Maleficence**: Minimizing harm.
    *   **Accountability & Responsibility**: Who is responsible in case of failure?
    *   **Transparency & Explainability**: How are decisions made by the system understandable?
    *   **Fairness & Non-Discrimination**: Avoiding bias in decision-making.
    *   **Privacy**: Data collection and usage.
    *   **Human Oversight**: Levels of human control and intervention.

**3. Guidelines for Decision-Making in Critical Scenarios**
    *   For EACH scenario provided in `{key_decision_making_scenarios_csv}`:
        *   **Scenario Analysis**: Briefly describe the ethical dilemma posed.
        *   **Primary Ethical Principle(s) at Stake**: Identify which of the above principles are most relevant.
        *   **Recommended Approach/Hierarchy**: Suggest a decision-making logic or prioritization. Clearly state any trade-offs.
        *   **Justification**: Explain the reasoning behind the recommended approach based on ethical principles.

**4. Design and Development Recommendations**
    *   Specific design considerations for `{autonomous_system_type}` to embed ethical behavior (e.g.
 fail-safe mechanisms
 auditable logs
 bias testing).

**5. Operational and Deployment Considerations**
    *   Monitoring ethical performance post-deployment.
    *   Procedures for addressing ethical breaches or unforeseen negative consequences.

**IMPORTANT**: The framework should be actionable and provide clear guidance for engineers. The discussion of scenarios from `{key_decision_making_scenarios_csv}` is CRUCIAL.
							

AI Aufforderung an Überblick über die Umweltverträglichkeitsprüfung während des gesamten Lebenszyklus

Umreißt die wichtigsten Phasen und Überlegungen für die Durchführung einer Ökobilanz für ein neues mechanisches Produkt. Diese Aufforderung hilft Ingenieuren bei der Strukturierung ihrer LCA-Anstrengungen, indem sie die benötigten Daten, die Wirkungskategorien und die Möglichkeiten zur Schadensbegrenzung ermittelt. Das Ergebnis ist ein Markdown-Dokument, das den LCA-Plan detailliert beschreibt.

Ausgabe: 

				
					Act as an Environmental Engineering Consultant specializing in Lifecycle Assessments (LCA) for mechanical products.
Your TASK is to generate a structured OUTLINE for conducting a Lifecycle Environmental Impact Assessment for `{product_name_and_function}`.
Consider the product's composition from `{bill_of_materials_csv}` (CSV string: 'Material
Quantity
Source_Region_if_known')
 its `{manufacturing_processes_overview_text}`
 and its `{expected_use_phase_and_disposal_text}`.
You MAY use live internet to identify common impact assessment tools
 databases (e.g.
 Ecoinvent
 GaBi)
 and relevant ISO standards (e.g.
 ISO 14040/14044).

**LCA OUTLINE STRUCTURE (MUST be Markdown format):**

**1. Goal and Scope Definition**
    *   **1.1. Purpose of the LCA**: (e.g.
 Identify environmental hotspots
 Compare with alternative designs
 Eco-labeling).
    *   **1.2. Product System Description**: Define `{product_name_and_function}`.
    *   **1.3. Functional Unit**: Quantified performance of the product system (e.g.
 'Provide X amount of torque for Y hours'
 'Manufacture Z parts').
    *   **1.4. System Boundaries**: Detail what stages are INCLUDED and EXCLUDED (Cradle-to-Grave
 Cradle-to-Gate
 Gate-to-Gate). Justify exclusions.
        *   Raw Material Acquisition (based on `{bill_of_materials_csv}`).
        *   Manufacturing & Assembly (based on `{manufacturing_processes_overview_text}`).
        *   Distribution/Transportation.
        *   Use Phase (based on `{expected_use_phase_and_disposal_text}`).
        *   End-of-Life (Disposal/Recycling
 based on `{expected_use_phase_and_disposal_text}`).
    *   **1.5. Allocation Procedures** (if dealing with multi-output processes or recycled content).
    *   **1.6. Impact Categories Selection**: (e.g.
 Global Warming Potential (GWP
 kg CO2 eq)
 Acidification Potential
 Eutrophication Potential
 Ozone Depletion Potential
 Smog Formation
 Resource Depletion
 Water Footprint). Select relevant categories for this product type.
    *   **1.7. LCA Methodology & Software/Databases**: (e.g.
 CML
 ReCiPe
 TRACI. Mention common software like SimaPro
 GaBi
 openLCA
 and databases like Ecoinvent).

**2. Life Cycle Inventory Analysis (LCI)**
    *   **2.1. Data Collection Plan**: For each life cycle stage:
        *   Identify required input data (energy
 materials
 water
 transport) and output data (emissions
 waste).
        *   Data sources (primary vs. secondary
 from `{bill_of_materials_csv}`
 literature
 databases).
    *   **2.2. Data Quality Requirements** (e.g.
 precision
 completeness
 representativeness).

**3. Life Cycle Impact Assessment (LCIA)**
    *   **3.1. Classification**: Assigning LCI results to selected impact categories.
    *   **3.2. Characterization**: Calculating category indicator results (e.g.
 converting greenhouse gas emissions into CO2 equivalents).
    *   **3.3. Normalization (Optional)**: Expressing impact indicator results relative to a reference value.
    *   **3.4. Weighting (Optional
 and to be used with caution)**: Assigning weights to different impact categories.

**4. Life Cycle Interpretation**
    *   **4.1. Identification of Significant Issues**: Hotspot analysis.
    *   **4.2. Evaluation**: Completeness
 sensitivity
 and consistency checks.
    *   **4.3. Conclusions
 Limitations
 and Recommendations for Mitigation** (e.g.
 material substitution
 process optimization
 design for disassembly).

**IMPORTANT**: This outline should guide an engineer in planning a comprehensive LCA. Emphasize the iterative nature of LCA and the importance of data quality.
							

AI Aufforderung an Analyse der gesellschaftlichen Auswirkungen der Automatisierung

Analysiert die potenziellen gesellschaftlichen Auswirkungen, wie z. B. Beschäftigungsverschiebungen, Veränderungen der Qualifikationsnachfrage und Fragen der Zugänglichkeit, die sich aus der Einführung einer bestimmten Automatisierungstechnologie in einem Maschinenbausektor ergeben. Diese Aufforderung hilft den Ingenieuren, weitergehende gesellschaftliche Konsequenzen zu berücksichtigen. Das Ergebnis ist ein textbasierter Bericht.

Ausgabe: 

				
					Act as a Socio-Technical Analyst specializing in the impacts of automation in engineering fields.
Your TASK is to provide an analysis of the potential societal impacts of implementing `{automation_technology_description}` within the `{industry_sector_of_application}` specifically considering the `{geographical_region_context}`.
You SHOULD use live internet access to gather data on employment trends
 skill demands
 and relevant socio-economic studies for the specified region and sector.

**SOCIETAL IMPACT ANALYSIS REPORT (Plain Text Format):**

**1. Introduction**
    *   Overview of the `{automation_technology_description}` and its intended application in the `{industry_sector_of_application}`.
    *   Brief note on the socio-economic context of `{geographical_region_context}` relevant to automation.

**2. Potential Impacts on Employment**
    *   **Job Displacement**: Analyze potential for job losses in roles directly affected by the automation. Provide any available statistics or projections for the `{industry_sector_of_application}` in `{geographical_region_context}`.
    *   **Job Creation**: Analyze potential for new jobs created (e.g.
 maintenance of automated systems
 programming
 data analysis
 new roles enabled by the technology).
    *   **Job Transformation**: How existing roles might change
 requiring new skills or responsibilities.

**3. Shifts in Skill Demand**
    *   **Upskilling/Reskilling Needs**: Identify skills that will become more critical (e.g.
 digital literacy
 robotics programming
 data interpretation
 complex problem-solving) and skills that may become obsolete.
    *   **Impact on Training and Education**: Discuss potential needs for changes in vocational training and engineering curricula in `{geographical_region_context}`.

**4. Economic Impacts**
    *   **Productivity Gains**: Potential for increased efficiency
 output
 and competitiveness in the `{industry_sector_of_application}`.
    *   **Investment Requirements**: Capital costs associated with implementing `{automation_technology_description}`.
    *   **Distribution of Economic Benefits**: Discuss who is likely to benefit most (e.g.
 capital owners
 highly skilled labor
 consumers). Consider potential for increased inequality.

**5. Accessibility and Equity**
    *   **Impact on Small vs. Large Businesses**: Can businesses of all sizes in `{geographical_region_context}` adopt this technology
 or does it favor larger enterprises?
    *   **Impact on Different Demographics**: Are there specific groups (e.g.
 older workers
 specific genders
 minority groups) that might be disproportionately affected
 positively or negatively?
    *   **Digital Divide**: Does the technology exacerbate or mitigate the digital divide within the region?

**6. Broader Societal and Ethical Considerations**
    *   **Worker Well-being**: Impact on job quality
 stress levels
 and workplace safety.
    *   **Social Acceptance and Resistance**: Potential for resistance to adoption from workers or the public.
    *   **Long-term Regional Development**: How might widespread adoption of this technology influence the economic trajectory of `{geographical_region_context}`?

**7. Policy Recommendations / Mitigation Strategies (Brief Suggestions)**
    *   Proactive measures that could be taken by policymakers
 industry
 or educational institutions in `{geographical_region_context}` to maximize benefits and mitigate negative impacts (e.g.
 retraining programs
 social safety nets
 investment in education).

**8. Conclusion**
    *   Summary of key potential societal impacts and a call for responsible implementation.

**Disclaimer**: This analysis is based on publicly available information and general trends. Specific impacts can vary based on the details of implementation.
							

AI Aufforderung an Ethische Bewertung der Dual-Use-Technologie

Führt eine vorläufige ethische Bewertung für eine Maschinentechnologie durch, die möglicherweise für Anwendungen mit doppeltem Verwendungszweck geeignet ist, und hebt dabei mögliche Risiken und ethische Dilemmata hervor und schlägt Schutzmaßnahmen vor. Diese Aufforderung zielt darauf ab, eine verantwortungsvolle Innovation zu fördern, indem unbeabsichtigte Folgen berücksichtigt werden. Das Ergebnis ist ein strukturierter Markdown-Bericht.

Ausgabe: 

				
					Act as an Ethics Reviewer specializing in dual-use technologies in engineering.
Your TASK is to conduct a preliminary ethical assessment of the `{technology_description_and_capabilities}`
 considering its `{intended_civilian_application}` and the `{potential_misuse_concerns_list_csv}` (CSV string: 'Concern_ID
Description_of_Misuse
Potential_Harm_Level_High_Medium_Low').

**ETHICAL ASSESSMENT REPORT (MUST be Markdown format):**

**1. Technology Overview**
    *   Description of `{technology_description_and_capabilities}`.
    *   Stated `{intended_civilian_application}` and its potential benefits.

**2. Identification of Dual-Use Potential**
    *   Analysis of how the core capabilities of the technology could be diverted for harmful or unintended military/security purposes
 drawing from `{potential_misuse_concerns_list_csv}`.
    *   For each concern in `{potential_misuse_concerns_list_csv}`
 elaborate on the pathway from civilian application to potential misuse.

**3. Ethical Dilemmas and Concerns**
    *   **Responsibility of Innovators/Engineers**: Discuss the ethical obligations of those developing such technologies.
    *   **Risk of Unintended Escalation**: How could the technology contribute to instability or an arms race if misused?
    *   **Accessibility and Proliferation**: How easily could the technology or knowledge to replicate it spread to actors with malicious intent?
    *   **Difficulty in Control/Verification**: Once developed
 how hard is it to monitor or control its use or prevent its misuse?
    *   **Impact on Human Rights**: Potential for the technology to be used in ways that violate human rights (e.g.
 surveillance
 autonomous weapons if applicable).

**4. Assessment of Potential Harms (based on `{potential_misuse_concerns_list_csv}`)**
    *   Summarize the potential severity and nature of harms associated with the identified misuses.

**5. Proposed Safeguards and Mitigation Strategies**
    *   **Technical Safeguards**: Are there ways to design the technology to make misuse more difficult (e.g.
 built-in limitations
 usage restrictions
 tamper-proofing
 tracking mechanisms)?
    *   **Policy and Regulatory Safeguards**: Suggestions for governance frameworks
 export controls
 international treaties
 or ethical oversight bodies that could mitigate risks.
    *   **Transparency and Open Dialogue**: Importance of public discussion and engagement with policymakers and ethicists throughout the technology's lifecycle.
    *   **End-User Vetting and Agreements**: Potential for controlling distribution to responsible parties.

**6. Conclusion and Recommendation**
    *   Summarize the key ethical risks associated with the dual-use potential of `{technology_description_and_capabilities}`.
    *   Provide a concluding thought on whether development should proceed
 and if so
 under what ethical conditions or with what mandatory safeguards.
    *   Suggest if a more comprehensive ethical review by a dedicated committee is warranted.

**IMPORTANT**: This is a PRELIMINARY assessment. The aim is to raise awareness and stimulate deeper ethical reflection
 not to provide a definitive judgment. Focus on balancing innovation with responsibility.
							

AI Aufforderung an Kritik am Versuchsplan und Verbesserungsvorschläge

Diese Aufforderung fordert die KI auf, einen vorgegebenen Versuchsplan im Maschinenbau zu analysieren, Schwachstellen zu identifizieren und detaillierte Verbesserungen vorzuschlagen, um Validität, Zuverlässigkeit und Effizienz zu verbessern. Der Benutzer gibt die Beschreibung des Versuchsplans und die Schlüsselvariablen ein.

Ausgabe: 

				
					Critically analyze the following mechanical engineering experimental plan: {experimental_plan}. Consider the key variables: {key_variables}. Identify potential flaws or limitations in design, controls, sample size, measurement methods, and data collection. Suggest specific improvements or alternative approaches to increase validity, reliability, and efficiency. Present your analysis in a numbered list with clear rationale for each suggestion.
							

AI Aufforderung an Entwurf des Abschnitts über die Bedeutung von Finanzhilfevorschlägen

Entwirft die Abschnitte "Bedeutung" und "Innovation" für einen Förderantrag im Bereich Maschinenbau und hebt die Neuheit des Projekts, die Forschungslücke und die potenziellen Auswirkungen hervor. Diese Aufforderung hilft Ingenieuren, den Kernwert ihrer vorgeschlagenen Arbeit zu formulieren. Die Ausgabe ist ein mit Markdown formatierter Text.

Ausgabe: 

				
					Act as a Scientific Writing Assistant specializing in engineering grant proposals.
Your TASK is to draft the 'Significance' and 'Innovation' sections (or a combined 'Significance and Innovation' section) for a grant proposal titled '`{project_title}`'.
The draft should clearly articulate the importance of the `{research_problem_statement}`
 the novelty of the `{proposed_solution_summary}`
 and the potential impact of the research
 drawing upon the `{key_innovative_aspects_list_csv}` (CSV string: 'Aspect_ID
Description_of_Innovation').

**DRAFT SECTIONS (MUST be Markdown format):**

**`{project_title}`**

**Significance**

1.  **Critical Need/Problem Statement**:
    *   Elaborate on the `{research_problem_statement}`. Clearly define the existing challenge
 knowledge gap
 or unmet need in the field of mechanical engineering that this project addresses.
    *   Explain the current limitations or drawbacks of existing approaches or technologies.
    *   Quantify the problem if possible (e.g.
 'Current methods result in X% energy loss'
 'Failures due to Y cost the industry $Z annually').
2.  **Impact if Successful**:
    *   Describe the potential impact of successfully completing this project. How will the `{proposed_solution_summary}` advance scientific knowledge
 technological capability
 or address societal needs?
    *   Who will benefit from this research (e.g.
 specific industries
 researchers
 society at large)?
    *   Discuss broader impacts
 such as contributions to education
 diversity
 or economic development
 if applicable.
3.  **Relevance to Funder's Mission (Generic - user to tailor if funder is known)**:
    *   Briefly connect the project's goals to typical missions of funding agencies focused on scientific and technological advancement (e.g.
 advancing fundamental knowledge
 fostering innovation
 enhancing national competitiveness
 solving critical societal problems).

**Innovation**

1.  **Novelty of Approach/Concept**:
    *   Clearly explain what is fundamentally new and innovative about the `{proposed_solution_summary}` and the project's overall approach.
    *   Refer to specific points from `{key_innovative_aspects_list_csv}`. For each innovative aspect:
        *   Describe the innovation in detail.
        *   Explain how it departs from or improves upon current paradigms
 theories
 methods
 or technologies.
2.  **Advancement Beyond Current State-of-the-Art**:
    *   Contrast the proposed work with existing methods
 highlighting the advancements it offers.
    *   Why is this approach likely to be more effective
 efficient
 or transformative than current alternatives?
3.  **Potential for Paradigm Shift (if applicable)**:
    *   If the project has the potential to significantly change the way research is conducted or problems are solved in this field
 articulate this potential.

**Overall Summary of Significance and Innovation**:
    *   A brief concluding paragraph that powerfully reiterates why this project is important
 innovative
 and worthy of funding.

**IMPORTANT**: The tone should be persuasive
 confident
 and scholarly. Ensure clear connections between the problem
 the proposed innovative solution
 and the expected impact. Avoid jargon where possible or explain it.
							

AI Aufforderung an Generator für optimale Versuchsplanung

Diese Eingabeaufforderung weist die KI an, ein optimales Experiment zu entwerfen, um bestimmte Parameter des Maschinenbaus zu untersuchen. Der Benutzer gibt die Forschungsfrage, die zu prüfenden Variablen und die Beschränkungen an. Die KI gibt einen vollständigen Versuchsplan mit Kontrollgruppen, Stichprobengrößen und Messstrategien zurück.

Ausgabe: 

				
					Design an optimal experimental plan for the mechanical engineering research question: {research_question}. The variables to be tested are: {variables}. Consider the following constraints: {constraints}. Provide a detailed plan including experimental setup, control groups, number of samples, measurement techniques, data collection methods, and statistical analysis approach. Format your response using markdown with sections and bullet points. Emphasize efficiency and validity in your design.
							

AI Aufforderung an Generator für die Zusammenfassung technischer Berichte

Erzeugt eine prägnante und informative Zusammenfassung für einen technischen Bericht auf der Grundlage der wichtigsten Abschnitte des Berichts. Diese Eingabeaufforderung hilft Ingenieuren, ihre Arbeit schnell zusammenzufassen, um sie weiter zu verbreiten. Die Ausgabe ist eine einfache Textzusammenfassung.

Ausgabe: 

				
					Act as a Technical Editor specializing in engineering reports.
Your TASK is to generate a concise and informative abstract for a technical report titled '`{report_title}`'.
The abstract should be based on the following summaries provided by the user:
    *   `{project_objectives_summary}`: A brief statement of the project's goals.
    *   `{methodology_used_summary}`: A concise description of the methods
 tools
 or approaches employed.
    *   `{key_results_and_conclusions_summary}`: A summary of the most important findings and the main conclusions drawn from the project.

**ABSTRACT GENERATION GUIDELINES:**

The abstract MUST be a single paragraph
 typically between 150-250 words (though this is a guideline
 quality over strict length).
It should be structured to include the following elements seamlessly:

1.  **Background/Purpose (derived from `{project_objectives_summary}` and `{report_title}`):**
    *   Start with a sentence or two that introduces the context or purpose of the work described in '`{report_title}`' and its main objectives from `{project_objectives_summary}`.
2.  **Methodology (derived from `{methodology_used_summary}`):**
    *   Briefly describe the key methods
 experimental procedures
 simulation techniques
 or analytical approaches used
 as outlined in `{methodology_used_summary}`. Avoid excessive detail; focus on what was done.
3.  **Key Results (derived from `{key_results_and_conclusions_summary}`):**
    *   Highlight the most significant findings or outcomes of the project. Quantify results where possible and impactful (e.g.
 'a 25% improvement in efficiency was observed'
 'the material exhibited a tensile strength of X MPa').
4.  **Main Conclusions (derived from `{key_results_and_conclusions_summary}`):**
    *   State the primary conclusions drawn from the results. What is the overall significance of the findings?
5.  **Keywords (Optional but Recommended - AI to suggest 3-5 based on content):**
    *   If appropriate
 the AI can suggest a few keywords at the end of the abstract text
 prefixed with 'Keywords:'. This is a secondary task.

**Output Format:**
Plain text
 suitable for direct inclusion in a technical report.

**Example Abstract Structure (Conceptual):**
`This report
 '`{report_title}`'
 details an investigation aimed at [paraphrase/combine from `{project_objectives_summary}`]. The study employed [summarize from `{methodology_used_summary}`
 e.g.
 'a combination of finite element analysis and experimental validation' or 'a novel design algorithm']. Key findings indicate [summarize key quantitative or qualitative results from `{key_results_and_conclusions_summary}`]. It was concluded that [summarize main conclusions from `{key_results_and_conclusions_summary}`
 highlighting significance].`
`Keywords: [Suggested Keyword1
 Suggested Keyword2
 Suggested Keyword3]`

**IMPORTANT**: The abstract MUST be self-contained and understandable without reference to the full report. It should be accurate
 concise
 and highlight the most compelling aspects of the work. Avoid using jargon that isn't commonly understood or defined within the abstract's context.
							

AI Aufforderung an Statistische Leistungsanalyse für Experimente

Diese Aufforderung fordert die KI auf, eine statistische Power-Analyse für ein Maschinenbauexperiment auf der Grundlage von Eingabeparametern wie Effektgröße, Stichprobengröße und Signifikanzniveau durchzuführen. Sie hilft festzustellen, ob das Experiment ausreichend leistungsfähig ist.

Ausgabe: 

				
					Perform a statistical power analysis for a mechanical engineering experiment with the following parameters: Effect Size: {effect_size}, Sample Size: {sample_size}, Significance Level (alpha): {significance_level}. Calculate the statistical power and interpret whether the current design is adequate. If underpowered, suggest adjustments to sample size or effect size. Present calculations step-by-step and summarize the conclusion clearly.
							
Inhaltsverzeichnis
    Aggiungere un'intestazione per iniziare a generare l'indice.

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    1. Wynter

      Gehen wir davon aus, dass KI im Maschinenbau immer die besten Prompts generieren kann? Wie werden diese im Übrigen generiert?

    2. Giselle

      Wird die KI menschliche Ingenieure überflüssig machen?

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